projects.json

{
  "schemaVersion": 3,
  "updatedAt": "2026-11-02",
  "projects": [
    {
      "id": "facebookresearch-2-5d-visual-sound",
      "name": "2.5D Visual Sound",
      "description": {
        "en": "Training and evaluation code for visually guided mono-to-binaural generation and the FAIR-Play dataset.",
        "zh": "视觉引导单声道到双耳音频生成及 FAIR-Play 数据集的训练与评测代码。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/facebookresearch/2.5D-Visual-Sound/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Custom or non-standard terms; see repository license text",
        "zh": "自定义或非标准条款；详见仓库许可证原文",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/facebookresearch/2.5D-Visual-Sound/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/facebookresearch/2.5D-Visual-Sound"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-1812-04204"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/facebookresearch/2.5D-Visual-Sound"
        }
      ]
    },
    {
      "id": "acids-ircam-after",
      "name": "AFTER",
      "description": {
        "en": "Real-time audio/MIDI structure and timbre transfer system with Max, Pure Data, and Ableton Live integration.",
        "zh": "集成 Max、Pure Data 与 Ableton Live 的实时音频/MIDI 结构和音色迁移系统。"
      },
      "areas": [
        "audio-effects",
        "representation",
        "symbolic-performance",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "effect-transfer",
          "representation-learning",
          "performance-rendering",
          "daw-interaction"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/acids-ircam/AFTER/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Creative Commons Attribution-NonCommercial 4.0",
        "zh": "Creative Commons Attribution-NonCommercial 4.0",
        "status": "identified",
        "spdx": "CC-BY-NC-4.0",
        "evidenceUrl": "https://github.com/acids-ircam/AFTER/blob/HEAD/LICENSE.md"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/acids-ircam/AFTER"
          ]
        },
        "checkpoint": {
          "status": "documented",
          "evidence": [
            "https://github.com/acids-ircam/AFTER/blob/HEAD/README.md"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/acids-ircam/AFTER/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/acids-ircam/AFTER/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/acids-ircam/AFTER/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2408-00196"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/acids-ircam/AFTER"
        }
      ]
    },
    {
      "id": "yongyizang-ambisonizer",
      "name": "Ambisonizer",
      "description": {
        "en": "Official implementation of neural upmixing from lower-channel audio to Ambisonics.",
        "zh": "从较少声道音频神经上混至 Ambisonics 的官方实现。"
      },
      "areas": [
        "spatial-audio",
        "mixing"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation",
          "spatial-mixing"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/yongyizang/ambisonizer/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/yongyizang/ambisonizer/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/yongyizang/ambisonizer"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2405-13428"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/yongyizang/ambisonizer"
        }
      ]
    },
    {
      "id": "will-rice-tts-papers",
      "name": "AMBIT",
      "description": {
        "en": "Public implementation associated with AMBIT. AMBIT couples autoregressive planning and rectified-flow rendering through executable ScenePlans specifying source content, activity and 3D trajectories for native FOA spatial-audio generation and instruction-guided editing.",
        "zh": "与 AMBIT 关联的公开实现。AMBIT通过可执行ScenePlan将自回归规划与整流流渲染耦合，用其指定声源内容、活动与三维轨迹，实现原生一阶Ambisonics空间音频生成与指令引导编辑。"
      },
      "areas": [
        "spatial-audio",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "production-program",
          "agentic-production"
        ],
        "effects": [],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/will-rice/tts-papers/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Apache License 2.0",
        "zh": "Apache License 2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/will-rice/tts-papers/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/will-rice/tts-papers"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2610-34415"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-11-02",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/will-rice/tts-papers"
        }
      ]
    },
    {
      "id": "kronihias-ambix",
      "name": "ambiX",
      "description": {
        "en": "Cross-platform Ambisonic plug-ins for digital audio workstations and standalone use.",
        "zh": "用于数字音频工作站及独立运行的跨平台 Ambisonics 插件。"
      },
      "areas": [
        "spatial-audio",
        "mixing"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-mixing",
          "spatial-rendering"
        ],
        "effects": [
          "stereo",
          "filtering"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/kronihias/ambix/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "GNU GPL terms; see repository license text",
        "zh": "GNU GPL 条款；详见仓库许可证原文",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/kronihias/ambix/blob/HEAD/COPYING"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/kronihias/ambix"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/kronihias/ambix/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "not-applicable",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [],
        "reviewStatus": "not-reviewed"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/kronihias/ambix"
        }
      ]
    },
    {
      "id": "antonioargentieri1-arbitrary-polygon-oscillator",
      "name": "Arbitrary Polygon Oscillator",
      "description": {
        "en": "RNBO and Max implementations for arbitrary polygonal synthesis, unequal-vertex shape interpolation, and three-dimensional variants.",
        "zh": "任意多边形合成、不等顶点形状插值及三维变体的 RNBO 与 Max 实现。"
      },
      "areas": [
        "audio-effects"
      ],
      "taxonomy": {
        "tasks": [
          "effect-modeling"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/antonioargentieri1/Arbitrary_Polygon_Oscillator/tree/master/Shape_interpolation",
          "https://github.com/antonioargentieri1/Arbitrary_Polygon_Oscillator/tree/master/3D"
        ]
      },
      "license": {
        "en": "PolyForm Noncommercial License 1.0.0",
        "zh": "PolyForm 非商业许可证 1.0.0",
        "status": "identified",
        "spdx": "PolyForm-Noncommercial-1.0.0",
        "evidenceUrl": "https://github.com/antonioargentieri1/Arbitrary_Polygon_Oscillator/blob/master/3D/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/antonioargentieri1/Arbitrary_Polygon_Oscillator"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "not-applicable",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2608-24726"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/antonioargentieri1/Arbitrary_Polygon_Oscillator"
        }
      ]
    },
    {
      "id": "csteinmetz1-automix-toolkit",
      "name": "automix-toolkit",
      "description": {
        "en": "Training, inference, evaluation, datasets, and models for differentiable automatic mixing.",
        "zh": "面向可微自动混音的训练、推理、评测、数据与模型工具。"
      },
      "areas": [
        "mixing",
        "audio-effects",
        "evaluation",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [
          "automatic-mixing",
          "differentiable-processing",
          "evaluation"
        ],
        "effects": [
          "gain",
          "equalization",
          "compression",
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/csteinmetz1/automix-toolkit/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Apache-2.0",
        "zh": "Apache-2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/csteinmetz1/automix-toolkit/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/csteinmetz1/automix-toolkit"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://huggingface.co/csteinmetz1/automix-toolkit"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/csteinmetz1/automix-toolkit/blob/main/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/csteinmetz1/automix-toolkit/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/csteinmetz1/automix-toolkit/blob/main/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2010-10291"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/csteinmetz1/automix-toolkit"
        },
        {
          "label": "checkpoint",
          "url": "https://huggingface.co/csteinmetz1/automix-toolkit"
        }
      ]
    },
    {
      "id": "liangsusan-git-av-nerf",
      "name": "AV-NeRF",
      "description": {
        "en": "Code and data preparation for novel-position audio-visual scene synthesis with neural fields.",
        "zh": "使用神经场在新位置合成音视频场景的代码与数据准备工具。"
      },
      "areas": [
        "spatial-audio",
        "representation"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation",
          "spatial-rendering"
        ],
        "effects": [
          "reverberation",
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/liangsusan-git/AV-NeRF/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/liangsusan-git/AV-NeRF"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2302-02088"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/liangsusan-git/AV-NeRF"
        }
      ]
    },
    {
      "id": "ebu-bear",
      "name": "BEAR",
      "description": {
        "en": "EBU binaural renderer for ADM object-, direct-speaker-, and Higher-Order Ambisonic content.",
        "zh": "面向 ADM 对象、直接扬声器及高阶 Ambisonics 内容的 EBU 双耳渲染器。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-rendering"
        ],
        "effects": [
          "stereo",
          "filtering"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/ebu/bear/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Apache-2.0",
        "zh": "Apache-2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/ebu/bear/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/ebu/bear"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/ebu/bear/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "not-applicable",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [],
        "reviewStatus": "not-reviewed"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/ebu/bear"
        }
      ]
    },
    {
      "id": "omeaningless-binaural-audio-generation",
      "name": "Binaural Audio Generation",
      "description": {
        "en": "Implementation of multi-task mono-to-binaural audio generation.",
        "zh": "多任务单声道到双耳音频生成实现。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/omeaningless/binaural-audio-generation/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/omeaningless/binaural-audio-generation"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2109-00748"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/omeaningless/binaural-audio-generation"
        }
      ]
    },
    {
      "id": "facebookresearch-binauralspeechsynthesis",
      "name": "Binaural Speech Synthesis",
      "description": {
        "en": "Training, evaluation, pretrained models, and recorded data for neural mono-to-binaural speech rendering.",
        "zh": "神经单声道到双耳语音渲染的训练、评测、预训练模型与录音数据。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation",
          "spatial-rendering"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/facebookresearch/BinauralSpeechSynthesis/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Custom or non-standard terms; see repository license text",
        "zh": "自定义或非标准条款；详见仓库许可证原文",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/facebookresearch/BinauralSpeechSynthesis/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/facebookresearch/BinauralSpeechSynthesis"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "openreview-binaural-speech-synthesis"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/facebookresearch/BinauralSpeechSynthesis"
        }
      ]
    },
    {
      "id": "microsoft-neuralspeech",
      "name": "BinauralGrad",
      "description": {
        "en": "BinauralGrad implementation within NeuralSpeech for conditional diffusion-based binaural synthesis.",
        "zh": "NeuralSpeech 中基于条件扩散的双耳音频合成 BinauralGrad 实现。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/microsoft/NeuralSpeech/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/microsoft/NeuralSpeech/blob/HEAD/LICENSE.txt"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/microsoft/NeuralSpeech/tree/master/BinauralGrad"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2205-14807"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/microsoft/NeuralSpeech/tree/master/BinauralGrad"
        }
      ]
    },
    {
      "id": "peiwensun2000-both-ears-wide-open",
      "name": "Both Ears Wide Open",
      "description": {
        "en": "Code and resources for language-driven binaural soundscape generation with spatial control.",
        "zh": "具有空间控制的语言驱动双耳声景生成代码与资源。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/PeiwenSun2000/Both-Ears-Wide-Open"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/PeiwenSun2000/Both-Ears-Wide-Open"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2410-10676"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/PeiwenSun2000/Both-Ears-Wide-Open"
        }
      ]
    },
    {
      "id": "sonyresearch-ccstereo",
      "name": "CCStereo",
      "description": {
        "en": "Official implementation of contextual and contrastive audio-visual learning for binaural generation.",
        "zh": "用于双耳生成的上下文与对比式音视频学习官方实现。"
      },
      "areas": [
        "spatial-audio",
        "representation"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/SonyResearch/CCStereo/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/SonyResearch/CCStereo/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/SonyResearch/CCStereo"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2501-02786"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/SonyResearch/CCStereo"
        }
      ]
    },
    {
      "id": "cmajor-lang-cmajor",
      "name": "Cmajor",
      "description": {
        "en": "A portable DSP language and runtime for building processor graphs and deployable instrument or effect patches.",
        "zh": "用于构建处理器图并部署乐器或效果器补丁的可移植 DSP 语言与运行时。"
      },
      "areas": [
        "audio-effects",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "effect-modeling",
          "production-program",
          "production-graph"
        ],
        "effects": [
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://cmajor.dev/docs/GettingStarted"
        ]
      },
      "license": {
        "en": "GPL-3.0-or-later; commercial licensing is also available",
        "zh": "GPL-3.0-or-later；另提供商业许可",
        "status": "identified",
        "spdx": "GPL-3.0-or-later",
        "evidenceUrl": "https://github.com/cmajor-lang/cmajor/blob/main/LICENSE.md"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/cmajor-lang/cmajor"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "not-applicable",
          "evidence": []
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "not-applicable",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [],
        "reviewStatus": "verified"
      },
      "lastVerified": "2026-09-23",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/cmajor-lang/cmajor"
        }
      ]
    },
    {
      "id": "nilsdem-control-transfer-diffusion",
      "name": "Control-Transfer Diffusion",
      "description": {
        "en": "Official ISMIR implementation for MIDI- or audio-controlled generation and one-shot timbre transfer, with training and pretrained models.",
        "zh": "支持 MIDI 或音频控制生成及单样本音色迁移的 ISMIR 官方实现，提供训练与预训练模型。"
      },
      "areas": [
        "audio-effects",
        "representation",
        "symbolic-performance"
      ],
      "taxonomy": {
        "tasks": [
          "effect-transfer",
          "representation-learning",
          "performance-rendering"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/NilsDem/control-transfer-diffusion/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/NilsDem/control-transfer-diffusion"
          ]
        },
        "checkpoint": {
          "status": "documented",
          "evidence": [
            "https://github.com/NilsDem/control-transfer-diffusion/blob/HEAD/README.md"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/NilsDem/control-transfer-diffusion/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/NilsDem/control-transfer-diffusion/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/NilsDem/control-transfer-diffusion/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2408-00196"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/NilsDem/control-transfer-diffusion"
        }
      ]
    },
    {
      "id": "gudgud96-piano-synthesis",
      "name": "Controllable Piano GM-VAE",
      "description": {
        "en": "Training and visualization code for articulation- and dynamics-controlled expressive piano audio synthesis.",
        "zh": "以奏法和力度控制表现力钢琴音频合成的训练与可视化代码。"
      },
      "areas": [
        "symbolic-performance",
        "representation"
      ],
      "taxonomy": {
        "tasks": [
          "symbolic-performance",
          "performance-rendering",
          "representation-learning"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/gudgud96/piano-synthesis/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/gudgud96/piano-synthesis"
          ]
        },
        "checkpoint": {
          "status": "not-found",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/gudgud96/piano-synthesis/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/gudgud96/piano-synthesis/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/gudgud96/piano-synthesis/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2006-09833"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/gudgud96/piano-synthesis"
        }
      ]
    },
    {
      "id": "papayaresearch-ctag",
      "name": "CTAG",
      "description": {
        "en": "Text-to-modular-synthesizer programming with evolutionary search and editable signal-flow graphs.",
        "zh": "结合进化搜索和可编辑信号流图的文本到模块化合成器编程实现。"
      },
      "areas": [
        "audio-effects",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "effect-control",
          "production-program",
          "production-graph"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/PapayaResearch/ctag/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "MIT License",
        "zh": "MIT License",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/PapayaResearch/ctag/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/PapayaResearch/ctag"
          ]
        },
        "checkpoint": {
          "status": "not-found",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/PapayaResearch/ctag/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/PapayaResearch/ctag/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2406-00294"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/PapayaResearch/ctag"
        }
      ]
    },
    {
      "id": "csteinmetz1-dasp-pytorch",
      "name": "dasp-pytorch",
      "description": {
        "en": "Differentiable gain, EQ, compression, distortion, reverb, and stereo processors in PyTorch.",
        "zh": "PyTorch 实现的可微增益、均衡、压缩、失真、混响与立体声处理器。"
      },
      "areas": [
        "audio-effects",
        "mixing",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [
          "effect-modeling",
          "parameter-estimation",
          "effect-control",
          "effect-transfer",
          "differentiable-processing"
        ],
        "effects": [
          "gain",
          "equalization",
          "compression",
          "distortion",
          "reverberation",
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/csteinmetz1/dasp-pytorch/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Apache-2.0",
        "zh": "Apache-2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/csteinmetz1/dasp-pytorch/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/csteinmetz1/dasp-pytorch"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": [
            "https://github.com/csteinmetz1/dasp-pytorch/blob/main/README.md"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/csteinmetz1/dasp-pytorch/blob/main/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/csteinmetz1/dasp-pytorch/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/csteinmetz1/dasp-pytorch/blob/main/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [],
        "reviewStatus": "not-reviewed"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/csteinmetz1/dasp-pytorch"
        }
      ]
    },
    {
      "id": "dbraun-dawdreamer",
      "name": "DawDreamer",
      "description": {
        "en": "Python framework for DAW-style plug-in graphs, automation, synthesis, and offline audio rendering.",
        "zh": "用于 DAW 式插件图、自动化、合成与离线音频渲染的 Python 框架。"
      },
      "areas": [
        "audio-effects",
        "mixing",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "effect-control",
          "automatic-mixing",
          "production-program",
          "production-graph",
          "daw-interaction"
        ],
        "effects": [
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/DBraun/DawDreamer/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "GNU General Public License v3.0",
        "zh": "GNU General Public License v3.0",
        "status": "identified",
        "spdx": "GPL-3.0-only",
        "evidenceUrl": "https://github.com/DBraun/DawDreamer/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/DBraun/DawDreamer"
          ]
        },
        "checkpoint": {
          "status": "not-found",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/DBraun/DawDreamer/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "not-applicable",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2111-09931"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/DBraun/DawDreamer"
        }
      ]
    },
    {
      "id": "soysaucewaso-dawzy",
      "name": "DAWZY",
      "description": {
        "en": "Open REAPER assistant that turns natural-language requests into reversible, state-aware DAW edits through ReaScript and MCP tools.",
        "zh": "通过 ReaScript 与 MCP 工具把自然语言请求转换为可撤销、可感知工程状态的 REAPER 编辑操作。"
      },
      "areas": [
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "production-program",
          "daw-interaction",
          "agentic-production"
        ],
        "effects": [],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/soysaucewaso/DAWZY/blob/main/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/soysaucewaso/DAWZY"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/soysaucewaso/DAWZY/blob/main/README.md"
          ]
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "not-applicable",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2512-03289"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/soysaucewaso/DAWZY"
        }
      ]
    },
    {
      "id": "magenta-ddsp",
      "name": "DDSP",
      "description": {
        "en": "Foundational differentiable signal-processing components and neural audio models.",
        "zh": "基础性的可微信号处理组件与神经音频模型库。"
      },
      "areas": [
        "representation",
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [
          "effect-modeling",
          "representation-learning",
          "differentiable-processing"
        ],
        "effects": [
          "distortion",
          "filtering"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/magenta/ddsp/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Apache-2.0",
        "zh": "Apache-2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/magenta/ddsp/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/magenta/ddsp"
          ]
        },
        "checkpoint": {
          "status": "documented",
          "evidence": [
            "https://github.com/magenta/ddsp/blob/main/README.md"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/magenta/ddsp/blob/main/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/magenta/ddsp/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/magenta/ddsp/blob/main/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2001-04643"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/magenta/ddsp"
        }
      ]
    },
    {
      "id": "a-carson-ddsp-phaser",
      "name": "DDSP Phaser",
      "description": {
        "en": "Differentiable gray-box modeling of analog phaser effects with learned modulation.",
        "zh": "通过学习调制信号对模拟移相效果器进行可微灰盒建模。"
      },
      "areas": [
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "No license file verified",
        "zh": "未核验到许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/a-carson/ddsp-phaser"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2306-01332"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/a-carson/ddsp-phaser"
        },
        {
          "label": "project",
          "url": "https://a-carson.github.io/ddsp-phaser/"
        }
      ]
    },
    {
      "id": "lrenault-ddsp-piano",
      "name": "DDSP-Piano",
      "description": {
        "en": "Official differentiable polyphonic piano synthesizer with bundled weights, MIDI inference, training, and evaluation.",
        "zh": "官方可微分复音钢琴合成器，包含权重、MIDI 推理、训练和评测。"
      },
      "areas": [
        "symbolic-performance",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [
          "performance-rendering",
          "differentiable-processing"
        ],
        "effects": [
          "reverberation",
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/lrenault/ddsp-piano/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Apache License 2.0",
        "zh": "Apache License 2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/lrenault/ddsp-piano/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/lrenault/ddsp-piano"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://github.com/lrenault/ddsp-piano/tree/main/ddsp_piano/model_weights"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/lrenault/ddsp-piano/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/lrenault/ddsp-piano/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/lrenault/ddsp-piano/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "dafx-2022-ddsp-piano"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/lrenault/ddsp-piano"
        },
        {
          "label": "checkpoint",
          "url": "https://github.com/lrenault/ddsp-piano/tree/main/ddsp_piano/model_weights"
        }
      ]
    },
    {
      "id": "ddsynth-rl-ddsynthrl",
      "name": "DDSynth-RL",
      "description": {
        "en": "Discrete-diffusion synthesizer inversion with reinforcement learning, evaluation code, and public checkpoints.",
        "zh": "结合强化学习的离散扩散合成器反演，提供评测代码和公开权重。"
      },
      "areas": [
        "audio-effects",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "parameter-estimation",
          "effect-control",
          "production-program"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/DDSynth-RL/DDSynthRL/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Apache License 2.0",
        "zh": "Apache License 2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/DDSynth-RL/DDSynthRL/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/DDSynth-RL/DDSynthRL"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://huggingface.co/MINNE-WU/DDSynth-RL"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/DDSynth-RL/DDSynthRL/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/DDSynth-RL/DDSynthRL/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/DDSynth-RL/DDSynthRL/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2608-03032"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/DDSynth-RL/DDSynthRL"
        },
        {
          "label": "checkpoint",
          "url": "https://huggingface.co/MINNE-WU/DDSynth-RL"
        }
      ]
    },
    {
      "id": "elianakim-decomposer",
      "name": "Decomposer",
      "description": {
        "en": "Inference code and an open model for recovering executable, editable Strudel programs from symbolic MIDI.",
        "zh": "从符号 MIDI 恢复可执行、可编辑 Strudel 程序的推理代码与开放模型。"
      },
      "areas": [
        "symbolic-performance",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "symbolic-performance",
          "production-program"
        ],
        "effects": [],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/elianakim/Decomposer/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Apache-2.0",
        "zh": "Apache-2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/elianakim/Decomposer/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/elianakim/Decomposer"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://huggingface.co/haiyewon/Decomposer-Qwen3-8B"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/elianakim/Decomposer/blob/main/README.md"
          ]
        },
        "training": {
          "status": "not-found",
          "evidence": []
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://huggingface.co/datasets/haiyewon/Strudel-Synth"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2607-01849"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-09-23",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/elianakim/Decomposer"
        },
        {
          "label": "checkpoint",
          "url": "https://huggingface.co/haiyewon/Decomposer-Qwen3-8B"
        }
      ]
    },
    {
      "id": "adobe-research-deepafx",
      "name": "DeepAFx",
      "description": {
        "en": "Differentiable proxy modeling and control of black-box audio effects.",
        "zh": "用于黑盒音频效果建模与控制的可微代理框架。"
      },
      "areas": [
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [
          "effect-modeling",
          "effect-control",
          "mastering",
          "differentiable-processing"
        ],
        "effects": [
          "equalization",
          "compression",
          "distortion",
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/adobe-research/DeepAFx/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Custom Adobe Research License",
        "zh": "Adobe Research 自定义许可证",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/adobe-research/DeepAFx/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/adobe-research/DeepAFx"
          ]
        },
        "checkpoint": {
          "status": "documented",
          "evidence": [
            "https://github.com/adobe-research/DeepAFx/blob/main/README.md"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/adobe-research/DeepAFx/blob/main/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/adobe-research/DeepAFx/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/adobe-research/DeepAFx/blob/main/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2105-04752"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/adobe-research/DeepAFx"
        }
      ]
    },
    {
      "id": "adobe-research-deepafx-st",
      "name": "DeepAFx-ST",
      "description": {
        "en": "Reference-guided production-style transfer with differentiable audio effects.",
        "zh": "使用可微分音频效果实现参考引导的制作风格迁移。"
      },
      "areas": [
        "audio-effects",
        "representation",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "Custom/other; see repository terms",
        "zh": "自定义或其他条款；请查看仓库",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/adobe-research/DeepAFx-ST"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2207-08759"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/adobe-research/DeepAFx-ST"
        }
      ]
    },
    {
      "id": "anusfoil-dexter",
      "name": "DExter",
      "description": {
        "en": "Diffusion-based expressive performance rendering with global and local controls, training, and inference.",
        "zh": "具有全局和局部控制、训练与推理流程的扩散式表现力演奏渲染实现。"
      },
      "areas": [
        "symbolic-performance"
      ],
      "taxonomy": {
        "tasks": [
          "symbolic-performance",
          "performance-rendering"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/anusfoil/DExter/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "MIT License",
        "zh": "MIT License",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/anusfoil/DExter/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/anusfoil/DExter"
          ]
        },
        "checkpoint": {
          "status": "not-found",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/anusfoil/DExter/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/anusfoil/DExter/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/anusfoil/DExter/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2406-14850"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/anusfoil/DExter"
        }
      ]
    },
    {
      "id": "gdalsanto-diff-fdn-colorless",
      "name": "Diff-FDN Colorless",
      "description": {
        "en": "Differentiable feedback-delay-network optimization for smooth artificial reverberation.",
        "zh": "用于平滑人工混响的可微反馈延迟网络优化代码。"
      },
      "areas": [
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/gdalsanto/diff-fdn-colorless"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2402-11216"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/gdalsanto/diff-fdn-colorless"
        }
      ]
    },
    {
      "id": "sai-soum-diff-mst",
      "name": "Diff-MST",
      "description": {
        "en": "Differentiable reference-based music-mixing style transfer.",
        "zh": "基于参考音频的可微音乐混音风格迁移。"
      },
      "areas": [
        "mixing",
        "representation",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [
          "automatic-mixing",
          "effect-transfer",
          "representation-learning",
          "differentiable-processing"
        ],
        "effects": [
          "gain",
          "equalization",
          "compression",
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/sai-soum/Diff-MST/blob/main/README.md"
        ]
      },
      "license": {
        "en": "CC-BY-NC-SA-4.0",
        "zh": "CC-BY-NC-SA-4.0",
        "status": "identified",
        "spdx": "CC-BY-NC-SA-4.0",
        "evidenceUrl": "https://github.com/sai-soum/Diff-MST/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/sai-soum/Diff-MST"
          ]
        },
        "checkpoint": {
          "status": "not-found",
          "evidence": [
            "https://github.com/sai-soum/Diff-MST/blob/main/README.md"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/sai-soum/Diff-MST/blob/main/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/sai-soum/Diff-MST/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/sai-soum/Diff-MST/blob/main/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2407-08889"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/sai-soum/Diff-MST"
        }
      ]
    },
    {
      "id": "zys711-diff2mix",
      "name": "Diff2Mix",
      "description": {
        "en": "Controllable automatic music mixing with diffusion models and differentiable audio effects.",
        "zh": "结合扩散模型与可微分音频效果的可控自动音乐混音。"
      },
      "areas": [
        "mixing",
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "No license file verified",
        "zh": "未核验到许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/zys711/Diff2Mix"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2608-05442"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/zys711/Diff2Mix"
        },
        {
          "label": "project",
          "url": "https://zys711.github.io/Diff2Mix"
        }
      ]
    },
    {
      "id": "jatinchowdhury18-differentiable-wdfs",
      "name": "Differentiable WDFs",
      "description": {
        "en": "Differentiable wave-digital-filter models for trainable audio circuits.",
        "zh": "用于可训练音频电路的可微波数字滤波器模型。"
      },
      "areas": [
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "BSD",
        "zh": "BSD",
        "status": "identified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/jatinchowdhury18/differentiable-wdfs"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "manual-differentiable-wdfs-smc-2022"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/jatinchowdhury18/differentiable-wdfs"
        }
      ]
    },
    {
      "id": "ytsrt66589-difffx-pytorch",
      "name": "DiffFx",
      "description": {
        "en": "A PyTorch toolkit of differentiable audio-effects processors.",
        "zh": "包含多种可微分音频效果处理器的 PyTorch 工具包。"
      },
      "areas": [
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [
          "effect-control",
          "differentiable-processing"
        ],
        "effects": [
          "gain",
          "equalization",
          "compression",
          "distortion",
          "reverberation",
          "delay",
          "modulation",
          "stereo",
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/ytsrt66589/diffFx-pytorch/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Apache-2.0",
        "zh": "Apache-2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/ytsrt66589/diffFx-pytorch/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/ytsrt66589/diffFx-pytorch"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": [
            "https://github.com/ytsrt66589/diffFx-pytorch/blob/main/README.md"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/ytsrt66589/diffFx-pytorch/blob/main/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/ytsrt66589/diffFx-pytorch/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "manual-difffx-ismir-2025"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/ytsrt66589/diffFx-pytorch"
        }
      ]
    },
    {
      "id": "sonyresearch-diffvox",
      "name": "DiffVox",
      "description": {
        "en": "Differentiable vocal-effects distributions and inference-time style transfer.",
        "zh": "可微分人声音效分布与推理时风格迁移。"
      },
      "areas": [
        "audio-effects",
        "representation",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/SonyResearch/diffvox"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2504-14735",
          "arxiv-2505-11315"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/SonyResearch/diffvox"
        }
      ]
    },
    {
      "id": "chenpaulyu-djtransgan",
      "name": "DJtransGAN",
      "description": {
        "en": "Automatic DJ transitions with a differentiable equalizer, fader, training code, and pretrained model.",
        "zh": "包含可微均衡器、推子、训练代码与预训练模型的自动 DJ 转场系统。"
      },
      "areas": [
        "mixing",
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/ChenPaulYu/DJtransGAN"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2110-06525"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/ChenPaulYu/DJtransGAN"
        }
      ]
    },
    {
      "id": "jhtonykoo-e2e-music-remastering-system",
      "name": "E2E Music Remastering",
      "description": {
        "en": "Self-supervised and adversarial end-to-end music remastering.",
        "zh": "采用自监督与对抗学习的端到端音乐再母带系统。"
      },
      "areas": [
        "mastering"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/jhtonyKoo/e2e_music_remastering_system"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2202-08520"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/jhtonyKoo/e2e_music_remastering_system"
        }
      ]
    },
    {
      "id": "ebu-ear-production-suite",
      "name": "EAR Production Suite",
      "description": {
        "en": "EBU plug-ins and tools for authoring and monitoring ADM object-, scene-, and channel-based audio.",
        "zh": "用于制作和监听 ADM 对象、场景及声道音频的 EBU 插件与工具。"
      },
      "areas": [
        "spatial-audio",
        "mixing"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-mixing",
          "spatial-rendering"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/ebu/ear-production-suite/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/ebu/ear-production-suite"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/ebu/ear-production-suite/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "not-applicable",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [],
        "reviewStatus": "not-reviewed"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/ebu/ear-production-suite"
        }
      ]
    },
    {
      "id": "grame-cncm-faust",
      "name": "Faust",
      "description": {
        "en": "A functional, block-diagram-oriented language and compiler for portable real-time DSP, synthesis, and audio plug-ins.",
        "zh": "面向可移植实时 DSP、声音合成与音频插件的函数式块图语言和编译器。"
      },
      "areas": [
        "audio-effects",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "effect-modeling",
          "production-program",
          "production-graph"
        ],
        "effects": [
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://faustdoc.grame.fr/manual/introduction/"
        ]
      },
      "license": {
        "en": "LGPL-2.1-or-later",
        "zh": "LGPL-2.1-or-later",
        "status": "identified",
        "spdx": "LGPL-2.1-or-later",
        "evidenceUrl": "https://github.com/grame-cncm/faust/blob/master/COPYING.txt"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/grame-cncm/faust"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "not-applicable",
          "evidence": []
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "not-applicable",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [],
        "reviewStatus": "verified"
      },
      "lastVerified": "2026-09-23",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/grame-cncm/faust"
        }
      ]
    },
    {
      "id": "gdalsanto-flamo",
      "name": "FLAMO",
      "description": {
        "en": "Frequency-domain differentiable modules for constructing and optimizing audio systems.",
        "zh": "用于构建与优化音频系统的频域可微处理模块库。"
      },
      "areas": [
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [
          "parameter-estimation",
          "differentiable-processing"
        ],
        "effects": [
          "gain",
          "equalization",
          "delay",
          "filtering"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/gdalsanto/flamo/blob/main/README.md"
        ]
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/gdalsanto/flamo/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/gdalsanto/flamo"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": [
            "https://github.com/gdalsanto/flamo/blob/main/README.md"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/gdalsanto/flamo/blob/main/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/gdalsanto/flamo/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/gdalsanto/flamo/blob/main/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2409-08723"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/gdalsanto/flamo"
        },
        {
          "label": "project",
          "url": "https://gdalsanto.github.io/flamo/"
        }
      ]
    },
    {
      "id": "acids-ircam-flow-synthesizer",
      "name": "Flow Synthesizer",
      "description": {
        "en": "Normalizing-flow control across synthesizer families with data preparation, pretrained models, and interactive tools.",
        "zh": "跨合成器族的归一化流控制系统，包含数据准备、预训练模型和交互工具。"
      },
      "areas": [
        "audio-effects",
        "representation",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "parameter-estimation",
          "effect-control",
          "representation-learning",
          "production-program"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/acids-ircam/flow_synthesizer/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/acids-ircam/flow_synthesizer"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://github.com/acids-ircam/flow_synthesizer/tree/master/saved"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/acids-ircam/flow_synthesizer/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/acids-ircam/flow_synthesizer/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/acids-ircam/flow_synthesizer/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-1907-00971"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/acids-ircam/flow_synthesizer"
        },
        {
          "label": "checkpoint",
          "url": "https://github.com/acids-ircam/flow_synthesizer/tree/master/saved"
        }
      ]
    },
    {
      "id": "matteospanio-fluxion",
      "name": "Fluxion",
      "description": {
        "en": "Public implementation associated with Fluxion. Fluxion is a Rust differentiable DSP runtime for filters and delay-line effects with analytic adjoints, lowered from one graph algebra into training and real-time engines with stability checks.",
        "zh": "与 Fluxion 关联的公开实现。Fluxion 是一个 Rust 可微 DSP 运行时，支持滤波器与延迟线效果并实现解析伴随，将同一图代数降为目标训练引擎与实时引擎，并进行稳定性检查。"
      },
      "areas": [
        "differentiable-processing",
        "audio-effects"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "MIT License",
        "zh": "MIT License",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/matteospanio/fluxion/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/matteospanio/fluxion"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2610-24622"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-10-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/matteospanio/fluxion"
        }
      ]
    },
    {
      "id": "sonyresearch-fx-encoder-plusplus",
      "name": "Fx-Encoder++",
      "description": {
        "en": "Instrument-wise audio-effects representations extracted from mixtures.",
        "zh": "从混合音频中提取分乐器音效表征。"
      },
      "areas": [
        "audio-effects",
        "representation"
      ],
      "taxonomy": {
        "tasks": [
          "representation-learning"
        ],
        "effects": [
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/SonyResearch/Fx-Encoder_PlusPlus/blob/main/README.md"
        ]
      },
      "license": {
        "en": "CC-BY-NC-4.0",
        "zh": "CC-BY-NC-4.0",
        "status": "identified",
        "spdx": "CC-BY-NC-4.0",
        "evidenceUrl": "https://github.com/SonyResearch/Fx-Encoder_PlusPlus/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/SonyResearch/Fx-Encoder_PlusPlus"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://huggingface.co/yytung/fxencoder-plusplus"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/SonyResearch/Fx-Encoder_PlusPlus/blob/main/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/SonyResearch/Fx-Encoder_PlusPlus/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "restricted",
          "evidence": [
            "https://github.com/SonyResearch/Fx-Encoder_PlusPlus/blob/main/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2507-02273"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/SonyResearch/Fx-Encoder_PlusPlus"
        },
        {
          "label": "checkpoint",
          "url": "https://huggingface.co/yytung/fxencoder-plusplus"
        }
      ]
    },
    {
      "id": "sony-fxnorm-automix",
      "name": "FxNorm-Automix",
      "description": {
        "en": "Automatic music mixing trained with processed, out-of-domain audio.",
        "zh": "使用域外已处理音频训练的自动音乐混音系统。"
      },
      "areas": [
        "mixing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/sony/FxNorm-automix"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2208-11428"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/sony/FxNorm-automix"
        }
      ]
    },
    {
      "id": "mcomunita-gfx-classifier",
      "name": "GFX Classifier",
      "description": {
        "en": "Guitar-effect recognition and parameter estimation models.",
        "zh": "吉他效果识别与参数估计模型。"
      },
      "areas": [
        "audio-effects",
        "evaluation"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "BSD",
        "zh": "BSD",
        "status": "identified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/mcomunita/gfx_classifier"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2012-03216"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/mcomunita/gfx_classifier"
        }
      ]
    },
    {
      "id": "jin-woo-lee-hrtf-interpolation",
      "name": "Global HRTF Interpolation",
      "description": {
        "en": "Code for direction-conditioned global interpolation of personalized HRTFs.",
        "zh": "面向个体化 HRTF 的方向条件全局插值代码。"
      },
      "areas": [
        "spatial-audio",
        "representation"
      ],
      "taxonomy": {
        "tasks": [
          "hrtf-personalization",
          "spatial-rendering"
        ],
        "effects": [
          "filtering"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/jin-woo-lee/hrtf-interpolation/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/jin-woo-lee/hrtf-interpolation"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2204-02637"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/jin-woo-lee/hrtf-interpolation"
        }
      ]
    },
    {
      "id": "doublepoints-cv-arxiv-daily",
      "name": "GNN Ambisonic Rendering",
      "description": {
        "en": "Public implementation associated with GNN Ambisonic Rendering. A lightweight graph neural network refines array-interpolation weights for wide-area 6DoF Ambisonic rendering, with an analytical DirAC layer reconstructing energy, diffuseness and direction of arrival.",
        "zh": "与 GNN Ambisonic Rendering 关联的公开实现。该文用轻量图神经网络细化阵列插值权重以进行广域6DoF Ambisonic渲染，并由解析DirAC层重建能量、扩散度与到达方向。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/doublepoints/cv-arxiv-daily"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2610-35741"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-11-02",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/doublepoints/cv-arxiv-daily"
        }
      ]
    },
    {
      "id": "sh-lee97-grafx",
      "name": "GRAFX",
      "description": {
        "en": "An open-source PyTorch library for differentiable audio processing graphs.",
        "zh": "用于可微分音频处理图的开源 PyTorch 库。"
      },
      "areas": [
        "audio-effects",
        "mixing",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [
          "differentiable-processing"
        ],
        "effects": [
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/sh-lee97/grafx/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Apache-2.0",
        "zh": "Apache-2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/sh-lee97/grafx/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/sh-lee97/grafx"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": [
            "https://github.com/sh-lee97/grafx/blob/main/README.md"
          ]
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2408-03204"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/sh-lee97/grafx"
        }
      ]
    },
    {
      "id": "sh-lee97-grafx-prune",
      "name": "GRAFX-Prune",
      "description": {
        "en": "Supplementary code and materials for searching and pruning music-mixing graphs.",
        "zh": "音乐混音图搜索与剪枝的代码和补充材料。"
      },
      "areas": [
        "mixing",
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "No license file verified",
        "zh": "未核验到许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/sh-lee97/grafx-prune"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2406-01049",
          "arxiv-2509-15948"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/sh-lee97/grafx-prune"
        },
        {
          "label": "project",
          "url": "https://sh-lee97.github.io/grafx-prune/"
        }
      ]
    },
    {
      "id": "alec-wright-greyboxdrc",
      "name": "GreyBoxDRC",
      "description": {
        "en": "Lightweight and interpretable gray-box modeling of dynamic range compression.",
        "zh": "轻量且可解释的动态范围压缩灰盒建模代码。"
      },
      "areas": [
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "No license file verified",
        "zh": "未核验到许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/Alec-Wright/GreyBoxDRC"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "manual-grey-box-drc-dafx-2022"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/Alec-Wright/GreyBoxDRC"
        }
      ]
    },
    {
      "id": "yzyouzhang-hrtf-field",
      "name": "HRTF Field",
      "description": {
        "en": "Neural-field representation and interpolation code for measured HRTF magnitudes.",
        "zh": "测量 HRTF 幅度的神经场表征与插值代码。"
      },
      "areas": [
        "spatial-audio",
        "representation"
      ],
      "taxonomy": {
        "tasks": [
          "hrtf-personalization",
          "spatial-rendering"
        ],
        "effects": [
          "filtering"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/yzyouzhang/HRTF_field/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/yzyouzhang/HRTF_field/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/yzyouzhang/HRTF_field"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2210-15196"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/yzyouzhang/HRTF_field"
        }
      ]
    },
    {
      "id": "ahogg-hrtf-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection",
      "name": "HRTF GAN Upsampling",
      "description": {
        "en": "GAN-based HRTF upsampling implementation using a gnomonic equiangular projection.",
        "zh": "基于球心等角投影和生成对抗网络的 HRTF 上采样实现。"
      },
      "areas": [
        "spatial-audio",
        "representation"
      ],
      "taxonomy": {
        "tasks": [
          "hrtf-personalization",
          "spatial-rendering"
        ],
        "effects": [
          "filtering"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/ahogg/HRTF-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/ahogg/HRTF-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2306-05812"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/ahogg/HRTF-upsampling-with-a-generative-adversarial-network-using-a-gnomonic-equiangular-projection"
        }
      ]
    },
    {
      "id": "ikets-hrtfinterpae-public",
      "name": "HRTFInterpAE",
      "description": {
        "en": "Autoencoder implementation for HRTF interpolation from sparse measurements with source-position conditioning.",
        "zh": "使用声源位置条件从稀疏测量插值 HRTF 的自编码器实现。"
      },
      "areas": [
        "spatial-audio",
        "representation"
      ],
      "taxonomy": {
        "tasks": [
          "hrtf-personalization",
          "spatial-rendering"
        ],
        "effects": [
          "filtering"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/ikets/HRTFInterpAE_public/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Custom or non-standard terms; see repository license text",
        "zh": "自定义或非标准条款；详见仓库许可证原文",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/ikets/HRTFInterpAE_public/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/ikets/HRTFInterpAE_public"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2207-10967"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/ikets/HRTFInterpAE_public"
        }
      ]
    },
    {
      "id": "tu-studio-iempluginsuite",
      "name": "IEM Plug-in Suite",
      "description": {
        "en": "Open Ambisonic production plug-ins for encoding, reverberation, dynamics, rotation, visualization, and decoding.",
        "zh": "面向 Ambisonics 制作的开放插件套件，涵盖编码、混响、动态、旋转、可视化与解码。"
      },
      "areas": [
        "spatial-audio",
        "mixing",
        "audio-effects"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-mixing",
          "spatial-rendering",
          "effect-control"
        ],
        "effects": [
          "reverberation",
          "compression",
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/tu-studio/IEMPluginSuite/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "GNU GPL terms; see repository license text",
        "zh": "GNU GPL 条款；详见仓库许可证原文",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/tu-studio/IEMPluginSuite/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/tu-studio/IEMPluginSuite"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/tu-studio/IEMPluginSuite/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "not-applicable",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [],
        "reviewStatus": "not-reviewed"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/tu-studio/IEMPluginSuite"
        }
      ]
    },
    {
      "id": "csteinmetz1-iirnet",
      "name": "IIRNet",
      "description": {
        "en": "Neural direct design of stable cascaded biquad filters.",
        "zh": "用于稳定级联双二阶滤波器直接设计的神经网络。"
      },
      "areas": [
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "Apache-2.0",
        "zh": "Apache-2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/csteinmetz1/IIRNet"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2110-03691"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/csteinmetz1/IIRNet"
        }
      ]
    },
    {
      "id": "vaclisinc-instructfx2fx",
      "name": "InstructFX2FX",
      "description": {
        "en": "Multi-turn text-guided refinement of persistent audio-effect chains.",
        "zh": "通过多轮文本指令持续细化音效链及其参数。"
      },
      "areas": [
        "audio-effects",
        "representation",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "No license file verified",
        "zh": "未核验到许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/vaclisinc/InstructFX2FX"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2606-22005"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/vaclisinc/InstructFX2FX"
        },
        {
          "label": "project",
          "url": "https://instructfx2fx.vaclis.net/"
        }
      ]
    },
    {
      "id": "aaronz345-isdrama",
      "name": "ISDrama",
      "description": {
        "en": "Code and models for multimodal generation of continuous multi-speaker binaural drama.",
        "zh": "多模态连续多说话人双耳剧集生成的代码与模型。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/AaronZ345/ISDrama/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/AaronZ345/ISDrama"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2504-20630"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/AaronZ345/ISDrama"
        }
      ]
    },
    {
      "id": "doheyyeah-arxiv-favor",
      "name": "Joint Flow Synth Inversion",
      "description": {
        "en": "Public implementation associated with Joint Flow Synth Inversion. The paper models the joint distribution of audio and synthesizer parameters with a multimodal continuous normalizing flow using independent noise schedules, enabling unpaired real recordings to train the audio marginal and improving off-manifold synthesizer inversion on Surge XT and Dexed.",
        "zh": "与 Joint Flow Synth Inversion 关联的公开实现。该论文用多模态连续归一化流并对各模态使用独立噪声调度来建模音频与合成器参数的联合分布，使无配对真实录音可仅训练音频边缘分布，从而提升 Surge XT 与 Dexed 上的域外合成器反演效果。"
      },
      "areas": [
        "audio-effects"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "MIT License",
        "zh": "MIT License",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/DoHeyYeah/arXiV-favor/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/DoHeyYeah/arXiV-favor"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2609-29320"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-10-05",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/DoHeyYeah/arXiV-favor"
        }
      ]
    },
    {
      "id": "videolabs-libspatialaudio",
      "name": "libspatialaudio",
      "description": {
        "en": "C++ library for Ambisonic encoding, rotation, decoding, binauralization, and object rendering.",
        "zh": "提供 Ambisonics 编码、旋转、解码、双耳化与对象渲染的 C++ 库。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-rendering"
        ],
        "effects": [
          "stereo",
          "filtering"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/videolabs/libspatialaudio/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "LGPL-2.1-or-later or commercial license",
        "zh": "LGPL-2.1-or-later 或商业许可证",
        "status": "identified",
        "spdx": "LGPL-2.1-or-later",
        "evidenceUrl": "https://github.com/videolabs/libspatialaudio/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/videolabs/libspatialaudio"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/videolabs/libspatialaudio/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "not-applicable",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [],
        "reviewStatus": "not-reviewed"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/videolabs/libspatialaudio"
        }
      ]
    },
    {
      "id": "sonyresearch-llm2fx",
      "name": "LLM2Fx",
      "description": {
        "en": "Language-to-audio-effect parameter prediction and tool calling for controllable post-production processors.",
        "zh": "面向可控后期处理器的语言到音效参数预测与工具调用框架。"
      },
      "areas": [
        "audio-effects",
        "mixing",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "parameter-estimation",
          "effect-control",
          "production-program",
          "agentic-production"
        ],
        "effects": [
          "equalization",
          "reverberation",
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/SonyResearch/LLM2Fx/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No license file verified",
        "zh": "未核验到许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/SonyResearch/LLM2Fx"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2505-20770",
          "arxiv-2512-01559"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/SonyResearch/LLM2Fx"
        }
      ]
    },
    {
      "id": "ilias-audio-matchreverb",
      "name": "MatchReverb",
      "description": {
        "en": "Code for matching OpenAIR room impulse responses with a feedback delay network using a genetic algorithm.",
        "zh": "使用遗传算法和反馈延迟网络匹配 OpenAIR 房间脉冲响应的实现。"
      },
      "areas": [
        "audio-effects",
        "spatial-audio",
        "evaluation"
      ],
      "taxonomy": {
        "tasks": [
          "effect-modeling",
          "parameter-estimation",
          "evaluation"
        ],
        "effects": [
          "reverberation"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/ilias-audio/MatchReverb/blob/main/README.md"
        ]
      },
      "license": {
        "en": "No repository license found",
        "zh": "未发现仓库许可证",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/ilias-audio/MatchReverb"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/ilias-audio/MatchReverb/blob/main/README.md"
          ]
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/ilias-audio/MatchReverb/blob/main/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "aes-2022-matchreverb"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/ilias-audio/MatchReverb"
        },
        {
          "label": "paper",
          "url": "https://www.aes.org/e-lib/browse.cfm?elib=21917"
        }
      ]
    },
    {
      "id": "sonyresearch-megami",
      "name": "MEGAMI",
      "description": {
        "en": "Generative effect embeddings for automatic music mixing.",
        "zh": "面向自动音乐混音的生成式音效嵌入。"
      },
      "areas": [
        "mixing",
        "representation"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "CC-BY-NC-SA-4.0",
        "zh": "CC-BY-NC-SA-4.0",
        "status": "identified",
        "spdx": "CC-BY-NC-SA-4.0",
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/SonyResearch/MEGAMI"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2511-08040"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/SonyResearch/MEGAMI"
        }
      ]
    },
    {
      "id": "sh01k-meshrir",
      "name": "MeshRIR",
      "description": {
        "en": "Dataset, baseline scripts, and evaluation resources for sound-field interpolation and synthesis on meshed grids.",
        "zh": "面向网格声场插值与合成的数据、基线脚本及评测资源。"
      },
      "areas": [
        "spatial-audio",
        "evaluation"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-rendering",
          "spatial-evaluation"
        ],
        "effects": [
          "reverberation"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/sh01k/MeshRIR/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Custom or non-standard terms; see repository license text",
        "zh": "自定义或非标准条款；详见仓库许可证原文",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/sh01k/MeshRIR/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/sh01k/MeshRIR"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2106-10801"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/sh01k/MeshRIR"
        }
      ]
    },
    {
      "id": "magenta-midi-ddsp",
      "name": "MIDI-DDSP",
      "description": {
        "en": "Official implementation of the editable note-performance-synthesis hierarchy, with training code, command-line synthesis, demos, and pretrained weights.",
        "zh": "可编辑音符、演奏、合成三层结构的官方实现，包含训练代码、命令行合成、演示和预训练权重。"
      },
      "areas": [
        "symbolic-performance",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [
          "symbolic-performance",
          "performance-rendering",
          "differentiable-processing"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/magenta/midi-ddsp/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Apache License 2.0",
        "zh": "Apache License 2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/magenta/midi-ddsp/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/magenta/midi-ddsp"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://github.com/magenta/midi-ddsp/raw/models/midi_ddsp_model_weights_urmp_9_10.zip"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/magenta/midi-ddsp/blob/main/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/magenta/midi-ddsp/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/magenta/midi-ddsp/blob/main/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2112-09312"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/magenta/midi-ddsp"
        },
        {
          "label": "checkpoint",
          "url": "https://github.com/magenta/midi-ddsp/raw/models/midi_ddsp_model_weights_urmp_9_10.zip"
        }
      ]
    },
    {
      "id": "nii-yamagishilab-midi-valle",
      "name": "MIDI-VALLE",
      "description": {
        "en": "Official expressive piano performance MIDI-to-audio implementation with training and inference recipes plus downloadable pretrained models.",
        "zh": "表情钢琴演奏 MIDI 到音频的官方实现，提供训练与推理流程以及可下载预训练模型。"
      },
      "areas": [
        "symbolic-performance"
      ],
      "taxonomy": {
        "tasks": [
          "symbolic-performance",
          "performance-rendering"
        ],
        "effects": [],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/nii-yamagishilab/MIDI-VALLE/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Apache License 2.0",
        "zh": "Apache License 2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/nii-yamagishilab/MIDI-VALLE/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/nii-yamagishilab/MIDI-VALLE"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://zenodo.org/records/15976272"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/nii-yamagishilab/MIDI-VALLE/blob/main/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/nii-yamagishilab/MIDI-VALLE/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/nii-yamagishilab/MIDI-VALLE/blob/main/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2507-08530"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/nii-yamagishilab/MIDI-VALLE"
        },
        {
          "label": "checkpoint",
          "url": "https://zenodo.org/records/15976272"
        }
      ]
    },
    {
      "id": "f90-mix-wave-u-net",
      "name": "Mix-Wave-U-Net",
      "description": {
        "en": "Wave-U-Net models and evaluation code for intelligent drum mixing.",
        "zh": "用于智能鼓组混音的 Wave-U-Net 模型与评测代码。"
      },
      "areas": [
        "mixing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/f90/Mix-Wave-U-Net"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [],
        "reviewStatus": "not-reviewed"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/f90/Mix-Wave-U-Net"
        }
      ]
    },
    {
      "id": "grrlkk-writing-agent-arxiv-daily",
      "name": "MixAgent",
      "description": {
        "en": "Public implementation associated with MixAgent. MixAgent is an agentic post-production pipeline that groups tracks, plans and orders audio effects guided by a reference song, and refines parameters with a detector and a critic trained on the MixCritic dataset.",
        "zh": "与 MixAgent 关联的公开实现。MixAgent 是一个智能后期制作流程，先对音轨分组，再在参考歌曲引导下选择并排列音频效果，并用检测器与基于 MixCritic 数据集训练的评语模型修正参数。"
      },
      "areas": [
        "mixing",
        "audio-effects",
        "evaluation"
      ],
      "taxonomy": {
        "tasks": [
          "agentic-production",
          "production-program"
        ],
        "effects": [],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/grrlkk/writing-agent-arxiv-daily/blob/main/README.md"
        ]
      },
      "license": {
        "en": "MIT License",
        "zh": "MIT License",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/grrlkk/writing-agent-arxiv-daily/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/grrlkk/writing-agent-arxiv-daily"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2610-29093"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-10-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/grrlkk/writing-agent-arxiv-daily"
        }
      ]
    },
    {
      "id": "mclemcrew-mixassist",
      "name": "MixAssist",
      "description": {
        "en": "Audio-language data, evaluation, training scripts, and adapters for context-aware co-creative mixing assistance.",
        "zh": "面向情境化协同混音助手的音频语言数据、评测、训练脚本和适配器。"
      },
      "areas": [
        "mixing",
        "representation",
        "evaluation",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "automatic-mixing",
          "representation-learning",
          "evaluation",
          "daw-interaction",
          "agentic-production"
        ],
        "effects": [
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/mclemcrew/MixAssist/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "MIT License",
        "zh": "MIT License",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/mclemcrew/MixAssist/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/mclemcrew/MixAssist"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://huggingface.co/mclemcrew/Qwen2-Audio-MixAssist-LoRA"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/mclemcrew/MixAssist/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/mclemcrew/MixAssist/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/mclemcrew/MixAssist/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2507-06329"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/mclemcrew/MixAssist"
        },
        {
          "label": "checkpoint",
          "url": "https://huggingface.co/mclemcrew/Qwen2-Audio-MixAssist-LoRA"
        }
      ]
    },
    {
      "id": "jhtonykoo-music-mixing-style-transfer",
      "name": "Music Mixing Style Transfer",
      "description": {
        "en": "Contrastive effect representations for transferring music-mixing style.",
        "zh": "用于音乐混音风格迁移的对比式音效表征。"
      },
      "areas": [
        "mixing",
        "representation"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/jhtonyKoo/music_mixing_style_transfer"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2211-02247"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/jhtonyKoo/music_mixing_style_transfer"
        }
      ]
    },
    {
      "id": "mcomunita-nablafx",
      "name": "NablAFx",
      "description": {
        "en": "A common framework for differentiable black-box and gray-box audio-effects modeling.",
        "zh": "用于可微分黑盒与灰盒音频效果建模的统一框架。"
      },
      "areas": [
        "audio-effects",
        "evaluation",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [
          "effect-modeling",
          "evaluation",
          "differentiable-processing"
        ],
        "effects": [
          "distortion",
          "filtering"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/mcomunita/nablafx/blob/master/README.md"
        ]
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/mcomunita/nablafx/blob/master/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/mcomunita/nablafx"
          ]
        },
        "checkpoint": {
          "status": "documented",
          "evidence": [
            "https://github.com/mcomunita/nablafx/blob/master/README.md",
            "https://github.com/mcomunita/nablafx/tree/master/weights"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/mcomunita/nablafx/blob/master/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/mcomunita/nablafx/blob/master/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/mcomunita/nablafx/blob/master/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2502-11668",
          "arxiv-2502-14405"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/mcomunita/nablafx"
        }
      ]
    },
    {
      "id": "jin-woo-lee-nfs-binaural",
      "name": "Neural Fourier Shift",
      "description": {
        "en": "Official implementation of position-conditioned binaural speech rendering in the Fourier domain.",
        "zh": "傅里叶域位置条件双耳语音渲染的官方实现。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-rendering"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/jin-woo-lee/nfs-binaural/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/jin-woo-lee/nfs-binaural/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/jin-woo-lee/nfs-binaural"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2211-00878"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/jin-woo-lee/nfs-binaural"
        }
      ]
    },
    {
      "id": "nii-yamagishilab-midi-to-audio",
      "name": "Neural MIDI-to-Audio",
      "description": {
        "en": "Reproducible neural MIDI-to-piano-audio systems with training, inference, evaluation, and pretrained models.",
        "zh": "可复现的神经 MIDI 到钢琴音频系统，包含训练、推理、评测和预训练模型。"
      },
      "areas": [
        "symbolic-performance"
      ],
      "taxonomy": {
        "tasks": [
          "performance-rendering"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/nii-yamagishilab/midi-to-audio/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Apache License 2.0",
        "zh": "Apache License 2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/nii-yamagishilab/midi-to-audio/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/nii-yamagishilab/midi-to-audio"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://zenodo.org/records/7439325"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/nii-yamagishilab/midi-to-audio/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/nii-yamagishilab/midi-to-audio/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/nii-yamagishilab/midi-to-audio/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2211-13868"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/nii-yamagishilab/midi-to-audio"
        },
        {
          "label": "checkpoint",
          "url": "https://zenodo.org/records/7439325"
        }
      ]
    },
    {
      "id": "merlresearch-neural-iir-field",
      "name": "NIIRF",
      "description": {
        "en": "Neural IIR filter fields for HRTF upsampling and personalization.",
        "zh": "用于 HRTF 上采样与个性化的神经 IIR 滤波器场。"
      },
      "areas": [
        "spatial-audio",
        "representation",
        "audio-effects"
      ],
      "taxonomy": {
        "tasks": [
          "hrtf-personalization",
          "spatial-rendering",
          "effect-modeling"
        ],
        "effects": [
          "filtering"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/merlresearch/neural-IIR-field/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "GNU AGPL terms; see repository license text",
        "zh": "GNU AGPL 条款；详见仓库许可证原文",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/merlresearch/neural-IIR-field/blob/HEAD/LICENSE.md"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/merlresearch/neural-IIR-field"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2402-17907"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/merlresearch/neural-IIR-field"
        }
      ]
    },
    {
      "id": "liuhuadai-omniaudio",
      "name": "OmniAudio",
      "description": {
        "en": "Official code and dataset tools for generating spatial audio from 360-degree video.",
        "zh": "从 360 度视频生成空间音频的官方代码与数据工具。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/liuhuadai/OmniAudio/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/liuhuadai/OmniAudio"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2504-14906"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/liuhuadai/OmniAudio"
        }
      ]
    },
    {
      "id": "alec-wright-openamp",
      "name": "Open-Amp",
      "description": {
        "en": "Synthetic data generation for broadly conditioned amplifier and effect models.",
        "zh": "面向通用音箱与音效模型的合成数据生成框架。"
      },
      "areas": [
        "audio-effects"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "No license file verified",
        "zh": "未核验到许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/Alec-Wright/OpenAmp"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2411-14972"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/Alec-Wright/OpenAmp"
        }
      ]
    },
    {
      "id": "bwang514-performancenet",
      "name": "PerformanceNet",
      "description": {
        "en": "Official score-to-audio piano synthesis implementation and data preparation tools.",
        "zh": "乐谱到钢琴音频合成的官方实现及数据准备工具。"
      },
      "areas": [
        "symbolic-performance"
      ],
      "taxonomy": {
        "tasks": [
          "performance-rendering"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/bwang514/PerformanceNet/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/bwang514/PerformanceNet"
          ]
        },
        "checkpoint": {
          "status": "not-found",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/bwang514/PerformanceNet/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/bwang514/PerformanceNet/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/bwang514/PerformanceNet/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-1811-04357"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/bwang514/PerformanceNet"
        }
      ]
    },
    {
      "id": "yhj137-pianist-transformer",
      "name": "Pianist Transformer",
      "description": {
        "en": "Self-supervised expressive-piano pretraining, rendering, checkpoints, and reproducible training recipes.",
        "zh": "表现力钢琴自监督预训练、渲染、权重与可复现训练流程。"
      },
      "areas": [
        "symbolic-performance",
        "representation"
      ],
      "taxonomy": {
        "tasks": [
          "symbolic-performance",
          "performance-rendering",
          "representation-learning"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/yhj137/PianistTransformer/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Apache License 2.0",
        "zh": "Apache License 2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/yhj137/PianistTransformer/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/yhj137/PianistTransformer"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://huggingface.co/collections/yhj137/pianist-transformer"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/yhj137/PianistTransformer/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/yhj137/PianistTransformer/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/yhj137/PianistTransformer/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2512-02652"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/yhj137/PianistTransformer"
        },
        {
          "label": "checkpoint",
          "url": "https://huggingface.co/collections/yhj137/pianist-transformer"
        }
      ]
    },
    {
      "id": "realfolkcode-pianokontext",
      "name": "PianoKontext",
      "description": {
        "en": "Context-conditioned expressive piano rendering implementation with training scripts and evaluation tools.",
        "zh": "包含训练脚本和评测工具的上下文条件表现力钢琴渲染实现。"
      },
      "areas": [
        "symbolic-performance"
      ],
      "taxonomy": {
        "tasks": [
          "symbolic-performance",
          "performance-rendering"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/realfolkcode/pianokontext/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/realfolkcode/pianokontext"
          ]
        },
        "checkpoint": {
          "status": "not-found",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/realfolkcode/pianokontext/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/realfolkcode/pianokontext/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/realfolkcode/pianokontext/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2606-12282"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/realfolkcode/pianokontext"
        }
      ]
    },
    {
      "id": "feima1024-pinn-for-hrtf-upsampling",
      "name": "PINN for HRTF Upsampling",
      "description": {
        "en": "Physics-informed neural network implementation for spatial HRTF upsampling.",
        "zh": "用于 HRTF 空间上采样的物理信息神经网络实现。"
      },
      "areas": [
        "spatial-audio",
        "representation"
      ],
      "taxonomy": {
        "tasks": [
          "hrtf-personalization",
          "spatial-rendering"
        ],
        "effects": [
          "filtering"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/feima1024/PINN-for-HRTF-upsampling/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/feima1024/PINN-for-HRTF-upsampling"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2307-14650"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/feima1024/PINN-for-HRTF-upsampling"
        }
      ]
    },
    {
      "id": "sheldontsui-pseudobinaural-cvpr2021",
      "name": "PseudoBinaural",
      "description": {
        "en": "Official code for visually informed binaural generation trained without real binaural recordings.",
        "zh": "无需真实双耳录音训练的视觉引导双耳音频生成官方代码。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/SheldonTsui/PseudoBinaural_CVPR2021/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Custom or non-standard terms; see repository license text",
        "zh": "自定义或非标准条款；详见仓库许可证原文",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/SheldonTsui/PseudoBinaural_CVPR2021/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/SheldonTsui/PseudoBinaural_CVPR2021"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2104-06162"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/SheldonTsui/PseudoBinaural_CVPR2021"
        }
      ]
    },
    {
      "id": "tmegalaxyaudioeffect-relfx-ismir2026-release",
      "name": "RelFx",
      "description": {
        "en": "Relative audio-effects representations learned from processed audio pairs.",
        "zh": "从成对已处理音频中学习相对音效表征。"
      },
      "areas": [
        "audio-effects",
        "representation",
        "evaluation"
      ],
      "taxonomy": {
        "tasks": [
          "effect-transfer",
          "representation-learning",
          "parameter-estimation",
          "differentiable-processing"
        ],
        "effects": [
          "equalization",
          "compression",
          "distortion",
          "reverberation",
          "delay",
          "stereo",
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/TMEGalaxyAudioEffect/relfx-ismir2026-release/blob/main/README.md"
        ]
      },
      "license": {
        "en": "MIT source; checkpoint CC-BY-NC-SA-4.0",
        "zh": "源码 MIT；权重 CC-BY-NC-SA-4.0",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/TMEGalaxyAudioEffect/relfx-ismir2026-release/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/TMEGalaxyAudioEffect/relfx-ismir2026-release"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://huggingface.co/TMEGalaxyAudioEffect/relfx-ismir2026"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/TMEGalaxyAudioEffect/relfx-ismir2026-release/blob/main/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/TMEGalaxyAudioEffect/relfx-ismir2026-release/blob/main/README.md",
            "https://github.com/TMEGalaxyAudioEffect/relfx-ismir2026-release/blob/main/docs/training.md"
          ]
        },
        "dataset": {
          "status": "not-found",
          "evidence": [
            "https://github.com/TMEGalaxyAudioEffect/relfx-ismir2026-release/blob/main/README.md",
            "https://github.com/TMEGalaxyAudioEffect/relfx-ismir2026-release/blob/main/docs/data-format.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "relfx-ismir-2026"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/TMEGalaxyAudioEffect/relfx-ismir2026-release"
        },
        {
          "label": "project",
          "url": "https://relative-fx.github.io"
        },
        {
          "label": "checkpoint",
          "url": "https://huggingface.co/TMEGalaxyAudioEffect/relfx-ismir2026"
        }
      ]
    },
    {
      "id": "mhrice-remfx",
      "name": "RemFX",
      "description": {
        "en": "Models, datasets, and checkpoints for general-purpose audio-effect removal.",
        "zh": "通用音效去除的模型、数据集与权重。"
      },
      "areas": [
        "audio-effects"
      ],
      "taxonomy": {
        "tasks": [
          "effect-removal",
          "effect-modeling"
        ],
        "effects": [
          "compression",
          "distortion",
          "reverberation",
          "delay",
          "modulation",
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/mhrice/RemFx/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Apache-2.0",
        "zh": "Apache-2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/mhrice/RemFx/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/mhrice/RemFx"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://zenodo.org/record/8218621"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/mhrice/RemFx/blob/main/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/mhrice/RemFx/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/mhrice/RemFx/blob/main/README.md",
            "https://zenodo.org/record/8187288"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2308-16177"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/mhrice/RemFx"
        },
        {
          "label": "project",
          "url": "https://csteinmetz1.github.io/RemFX/"
        },
        {
          "label": "checkpoint",
          "url": "https://zenodo.org/record/8218621"
        }
      ]
    },
    {
      "id": "tangjjbetsy-s2a",
      "name": "S2A",
      "description": {
        "en": "Official two-stage score-to-performance and performance-to-audio system with code, checkpoints, Colab inference, and evaluation tools.",
        "zh": "乐谱到演奏、演奏到音频两阶段系统的官方实现，提供代码、权重、Colab 推理和评测工具。"
      },
      "areas": [
        "symbolic-performance"
      ],
      "taxonomy": {
        "tasks": [
          "symbolic-performance",
          "performance-rendering"
        ],
        "effects": [],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/tangjjbetsy/S2A/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Apache License 2.0",
        "zh": "Apache License 2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/tangjjbetsy/S2A/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/tangjjbetsy/S2A"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://zenodo.org/records/15524693"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/tangjjbetsy/S2A/blob/main/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/tangjjbetsy/S2A/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/tangjjbetsy/S2A/blob/main/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2501-10222"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/tangjjbetsy/S2A"
        },
        {
          "label": "checkpoint",
          "url": "https://zenodo.org/records/15524693"
        }
      ]
    },
    {
      "id": "int0thewind-s4-dynamic-range-compressor",
      "name": "S4-DRC",
      "description": {
        "en": "State-space neural modeling of analog dynamic range compressors.",
        "zh": "使用状态空间神经网络建模模拟动态范围压缩器。"
      },
      "areas": [
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/int0thewind/s4-dynamic-range-compressor"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2403-16331"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/int0thewind/s4-dynamic-range-compressor"
        },
        {
          "label": "project",
          "url": "https://int0thewind.github.io/s4drc/"
        }
      ]
    },
    {
      "id": "ilya16-scoreperformer",
      "name": "ScorePerformer",
      "description": {
        "en": "Fine-grained controllable expressive-piano performance rendering with training and inference code.",
        "zh": "提供训练和推理代码的细粒度可控表现力钢琴演奏渲染系统。"
      },
      "areas": [
        "symbolic-performance"
      ],
      "taxonomy": {
        "tasks": [
          "symbolic-performance",
          "performance-rendering"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/ilya16/scoreperformer/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0",
        "zh": "Creative Commons Attribution-NonCommercial-ShareAlike 4.0",
        "status": "identified",
        "spdx": "CC-BY-NC-SA-4.0",
        "evidenceUrl": "https://github.com/ilya16/scoreperformer/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/ilya16/scoreperformer"
          ]
        },
        "checkpoint": {
          "status": "not-found",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/ilya16/scoreperformer/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/ilya16/scoreperformer/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/ilya16/scoreperformer/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "ismir-2023-scoreperformer"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/ilya16/scoreperformer"
        }
      ]
    },
    {
      "id": "see2sound-see2sound",
      "name": "SEE-2-SOUND",
      "description": {
        "en": "Zero-shot pipeline for generating and spatializing sound from visual environments.",
        "zh": "根据视觉环境生成并空间化声音的零样本流程。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation",
          "spatial-rendering"
        ],
        "effects": [
          "stereo",
          "reverberation"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/see2sound/see2sound/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Apache-2.0",
        "zh": "Apache-2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/see2sound/see2sound/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/see2sound/see2sound"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2406-06612"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/see2sound/see2sound"
        }
      ]
    },
    {
      "id": "sheldontsui-sepstereo-eccv2020",
      "name": "Sep-Stereo",
      "description": {
        "en": "Official implementation of self-supervised stereophonic generation with visual source-separation cues.",
        "zh": "结合视觉声源分离线索进行自监督立体声生成的官方实现。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/SheldonTsui/SepStereo_ECCV2020/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Custom or non-standard terms; see repository license text",
        "zh": "自定义或非标准条款；详见仓库许可证原文",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/SheldonTsui/SepStereo_ECCV2020/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/SheldonTsui/SepStereo_ECCV2020"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2007-09902"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/SheldonTsui/SepStereo_ECCV2020"
        }
      ]
    },
    {
      "id": "rsy1026-sketching-piano-expression",
      "name": "Sketching Piano Expression",
      "description": {
        "en": "Official implementation for extracting, editing, and transferring high-level piano expression sketches.",
        "zh": "用于提取、编辑和迁移高层钢琴表情轮廓的官方实现。"
      },
      "areas": [
        "symbolic-performance"
      ],
      "taxonomy": {
        "tasks": [
          "symbolic-performance",
          "performance-rendering"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/rsy1026/sketching_piano_expression/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/rsy1026/sketching_piano_expression"
          ]
        },
        "checkpoint": {
          "status": "not-found",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/rsy1026/sketching_piano_expression/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/rsy1026/sketching_piano_expression/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/rsy1026/sketching_piano_expression/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2208-14867"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/rsy1026/sketching_piano_expression"
        }
      ]
    },
    {
      "id": "ethman-slakh",
      "name": "Slakh",
      "description": {
        "en": "Official Slakh2100 dataset site, rendering code, support tools, examples, and source-separation benchmarks.",
        "zh": "Slakh2100 官方数据集网站，提供渲染代码、配套工具、示例及音乐源分离基准。"
      },
      "areas": [
        "mixing",
        "evaluation"
      ],
      "taxonomy": {
        "tasks": [
          "automatic-mixing",
          "evaluation"
        ],
        "effects": [],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/ethman/Slakh/blob/master/README.md"
        ]
      },
      "license": {
        "en": "Source-code license not verified; Slakh2100 data is CC-BY-4.0",
        "zh": "源码许可证未核验；Slakh2100 数据采用 CC-BY-4.0",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/ethman/Slakh"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "not-applicable",
          "evidence": []
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/ethman/Slakh/blob/master/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-1909-08494"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/ethman/Slakh"
        },
        {
          "label": "paper",
          "url": "https://arxiv.org/abs/1909.08494"
        }
      ]
    },
    {
      "id": "amaai-lab-sonicmaster",
      "name": "SonicMaster",
      "description": {
        "en": "Controllable all-in-one music restoration and mastering.",
        "zh": "可控的一体化音乐修复与母带处理系统。"
      },
      "areas": [
        "mastering"
      ],
      "taxonomy": {
        "tasks": [
          "mastering",
          "effect-control"
        ],
        "effects": [
          "equalization",
          "compression",
          "distortion",
          "reverberation",
          "stereo",
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/AMAAI-Lab/SonicMaster/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Apache-2.0",
        "zh": "Apache-2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/AMAAI-Lab/SonicMaster/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/AMAAI-Lab/SonicMaster"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://huggingface.co/amaai-lab/SonicMaster/tree/main"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/AMAAI-Lab/SonicMaster/blob/main/README.md",
            "https://huggingface.co/spaces/amaai-lab/SonicMaster"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/AMAAI-Lab/SonicMaster/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/AMAAI-Lab/SonicMaster/blob/main/README.md",
            "https://huggingface.co/datasets/amaai-lab/SonicMasterDataset"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2508-03448"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/AMAAI-Lab/SonicMaster"
        },
        {
          "label": "checkpoint",
          "url": "https://huggingface.co/amaai-lab/SonicMaster/tree/main"
        }
      ]
    },
    {
      "id": "sound2synth-sound2synth",
      "name": "Sound2Synth",
      "description": {
        "en": "FM synthesizer parameter estimation and audio reconstruction code for interpretable sound matching.",
        "zh": "用于可解释声音匹配的 FM 合成器参数估计和音频重建代码。"
      },
      "areas": [
        "audio-effects",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "parameter-estimation",
          "effect-control",
          "production-program"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/Sound2Synth/Sound2Synth/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/Sound2Synth/Sound2Synth"
          ]
        },
        "checkpoint": {
          "status": "not-found",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/Sound2Synth/Sound2Synth/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/Sound2Synth/Sound2Synth/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/Sound2Synth/Sound2Synth/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2205-03043"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/Sound2Synth/Sound2Synth"
        }
      ]
    },
    {
      "id": "g-roma-soundmatchensemble",
      "name": "SoundMatchEnsemble",
      "description": {
        "en": "Synthesizer-ensemble sound matching implementation for expanding the reachable timbre space.",
        "zh": "通过合成器集成扩大可达音色空间的声音匹配实现。"
      },
      "areas": [
        "audio-effects",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "parameter-estimation",
          "effect-control",
          "production-program"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/g-roma/SoundMatchEnsemble/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/g-roma/SoundMatchEnsemble"
          ]
        },
        "checkpoint": {
          "status": "not-found",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/g-roma/SoundMatchEnsemble/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/g-roma/SoundMatchEnsemble/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "dafx-2024-synth-ensembles"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/g-roma/SoundMatchEnsemble"
        }
      ]
    },
    {
      "id": "leomccormack-sparta",
      "name": "SPARTA",
      "description": {
        "en": "Open plug-in suite for producing, analyzing, and reproducing spatial sound scenes.",
        "zh": "用于空间声场制作、分析与重放的开放插件套件。"
      },
      "areas": [
        "spatial-audio",
        "mixing",
        "evaluation"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-mixing",
          "spatial-rendering",
          "spatial-evaluation"
        ],
        "effects": [
          "reverberation",
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/leomccormack/SPARTA/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "GNU GPL terms; see repository license text",
        "zh": "GNU GPL 条款；详见仓库许可证原文",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/leomccormack/SPARTA/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/leomccormack/SPARTA"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/leomccormack/SPARTA/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "not-applicable",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [],
        "reviewStatus": "not-reviewed"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/leomccormack/SPARTA"
        }
      ]
    },
    {
      "id": "leomccormack-spatial-audio-framework",
      "name": "Spatial Audio Framework",
      "description": {
        "en": "Cross-platform C framework for spatial-audio processing and reproduction algorithms.",
        "zh": "面向空间音频处理与重放算法的跨平台 C 框架。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-rendering",
          "spatial-evaluation"
        ],
        "effects": [
          "filtering",
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/leomccormack/Spatial_Audio_Framework/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Custom or non-standard terms; see repository license text",
        "zh": "自定义或非标准条款；详见仓库许可证原文",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/leomccormack/Spatial_Audio_Framework/blob/HEAD/LICENSE.md"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/leomccormack/Spatial_Audio_Framework"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/leomccormack/Spatial_Audio_Framework/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "not-applicable",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [],
        "reviewStatus": "not-reviewed"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/leomccormack/Spatial_Audio_Framework"
        }
      ]
    },
    {
      "id": "katarina-poole-spatial-audio-metrics",
      "name": "Spatial Audio Metrics",
      "description": {
        "en": "Python toolbox for analyzing HRTFs and spatial-audio perceptual experiments, released with the extended SONICOM resource.",
        "zh": "用于分析 HRTF 与空间音频感知实验的 Python 工具箱，与扩展 SONICOM 资源一同发布。"
      },
      "areas": [
        "spatial-audio",
        "evaluation"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-evaluation",
          "hrtf-personalization"
        ],
        "effects": [
          "filtering"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/Katarina-Poole/Spatial-Audio-Metrics/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "GNU GPL terms; see repository license text",
        "zh": "GNU GPL 条款；详见仓库许可证原文",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/Katarina-Poole/Spatial-Audio-Metrics/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/Katarina-Poole/Spatial-Audio-Metrics"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2507-05053"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/Katarina-Poole/Spatial-Audio-Metrics"
        }
      ]
    },
    {
      "id": "apple-ml-spatial-librispeech",
      "name": "Spatial LibriSpeech",
      "description": {
        "en": "Official dataset schema, access instructions, and loading resources for the Spatial LibriSpeech corpus.",
        "zh": "Spatial LibriSpeech 语料库的官方数据结构、获取说明与加载资源。"
      },
      "areas": [
        "spatial-audio",
        "evaluation"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation",
          "spatial-evaluation"
        ],
        "effects": [
          "reverberation"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/apple/ml-spatial-librispeech/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "Custom or non-standard terms; see repository license text",
        "zh": "自定义或非标准条款；详见仓库许可证原文",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/apple/ml-spatial-librispeech/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/apple/ml-spatial-librispeech"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2308-09514"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/apple/ml-spatial-librispeech"
        }
      ]
    },
    {
      "id": "pedro-morgado-spatialaudiogen",
      "name": "SpatialAudioGen",
      "description": {
        "en": "Official code and dataset resources for self-supervised spatial-audio generation from 360-degree video.",
        "zh": "从 360 度视频进行自监督空间音频生成的官方代码与数据资源。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/pedro-morgado/spatialaudiogen/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "BSD",
        "zh": "BSD",
        "status": "custom",
        "spdx": null,
        "evidenceUrl": "https://github.com/pedro-morgado/spatialaudiogen/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/pedro-morgado/spatialaudiogen"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-1809-02587"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/pedro-morgado/spatialaudiogen"
        }
      ]
    },
    {
      "id": "gwendal-lv-spinvae",
      "name": "SPINVAE",
      "description": {
        "en": "Joint audio-preset representation learning for synthesizer preset interpolation, with training code and models.",
        "zh": "用于合成器预设插值的音频与预设联合表征学习，提供训练代码和模型。"
      },
      "areas": [
        "audio-effects",
        "representation",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "representation-learning",
          "effect-control",
          "production-program"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/gwendal-lv/spinvae/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "GNU Affero General Public License v3.0",
        "zh": "GNU Affero General Public License v3.0",
        "status": "identified",
        "spdx": "AGPL-3.0-only",
        "evidenceUrl": "https://github.com/gwendal-lv/spinvae/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/gwendal-lv/spinvae"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://github.com/gwendal-lv/spinvae/releases"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/gwendal-lv/spinvae/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/gwendal-lv/spinvae/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/gwendal-lv/spinvae/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "icassp-2023-spinvae"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/gwendal-lv/spinvae"
        },
        {
          "label": "checkpoint",
          "url": "https://github.com/gwendal-lv/spinvae/releases"
        }
      ]
    },
    {
      "id": "csteinmetz1-st-ito",
      "name": "ST-ITO",
      "description": {
        "en": "Inference-time optimization for reference-guided audio-effects style transfer.",
        "zh": "面向参考引导音效风格迁移的推理时优化框架。"
      },
      "areas": [
        "audio-effects",
        "representation",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [
          "effect-transfer",
          "representation-learning",
          "parameter-estimation",
          "differentiable-processing"
        ],
        "effects": [
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/csteinmetz1/st-ito/blob/main/README.md"
        ]
      },
      "license": {
        "en": "Apache-2.0",
        "zh": "Apache-2.0",
        "status": "identified",
        "spdx": "Apache-2.0",
        "evidenceUrl": "https://github.com/csteinmetz1/st-ito/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/csteinmetz1/st-ito"
          ]
        },
        "checkpoint": {
          "status": "documented",
          "evidence": [
            "https://github.com/csteinmetz1/st-ito/blob/main/README.md"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/csteinmetz1/st-ito/blob/main/README.md"
          ]
        },
        "training": {
          "status": "not-found",
          "evidence": [
            "https://github.com/csteinmetz1/st-ito/blob/main/README.md"
          ]
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2410-21233"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-26",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/csteinmetz1/st-ito"
        }
      ]
    },
    {
      "id": "dbraun-synapse",
      "name": "SynAPSE",
      "description": {
        "en": "Joint DX7 audio-preset embedding package with graph-based parameter encoders, an interactive demo, and pretrained Safetensors models.",
        "zh": "DX7 音频与预设共享表征工具，提供图参数编码器、交互演示和 Safetensors 预训练模型。"
      },
      "areas": [
        "audio-effects",
        "representation",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "representation-learning",
          "production-program",
          "production-graph"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/DBraun/SynAPSE/blob/main/README.md"
        ]
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/DBraun/SynAPSE/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/DBraun/SynAPSE"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://huggingface.co/davidbraun/fm-synapse-dx7-gnn"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/DBraun/SynAPSE/blob/main/README.md"
          ]
        },
        "training": {
          "status": "not-found",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2608-18226"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/DBraun/SynAPSE"
        },
        {
          "label": "checkpoint",
          "url": "https://huggingface.co/davidbraun/fm-synapse-dx7-gnn"
        }
      ]
    },
    {
      "id": "papayaresearch-synthax",
      "name": "SynthAX",
      "description": {
        "en": "A fast, modular JAX synthesizer for differentiable sound synthesis, batched rendering, and large-scale optimization.",
        "zh": "用于可微声音合成、批量渲染和大规模优化的高速模块化 JAX 合成器。"
      },
      "areas": [
        "differentiable-processing",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "differentiable-processing",
          "production-program",
          "production-graph"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/PapayaResearch/synthax/blob/main/README.md"
        ]
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/PapayaResearch/synthax/blob/main/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/PapayaResearch/synthax"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/PapayaResearch/synthax/blob/main/README.md"
          ]
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "not-applicable",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "manual-synthax-aes-2023"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-09-23",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/PapayaResearch/synthax"
        }
      ]
    },
    {
      "id": "anniejchu-text2fx",
      "name": "Text2FX",
      "description": {
        "en": "Text-guided audio-effects control using CLAP representations.",
        "zh": "使用 CLAP 表征实现文本引导的音频效果控制。"
      },
      "areas": [
        "audio-effects",
        "representation"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "No license file verified",
        "zh": "未核验到许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/anniejchu/text2fx"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2409-18847"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/anniejchu/text2fx"
        }
      ]
    },
    {
      "id": "heqi201255-tomi",
      "name": "TOMI",
      "description": {
        "en": "REAPER-integrated language agent and benchmark for inspectable, editable music-production actions.",
        "zh": "与 REAPER 集成的语言智能体和基准，用于可检查、可编辑的音乐制作操作。"
      },
      "areas": [
        "production-program",
        "evaluation"
      ],
      "taxonomy": {
        "tasks": [
          "evaluation",
          "production-program",
          "production-graph",
          "daw-interaction",
          "agentic-production"
        ],
        "effects": [
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/heqi201255/TOMI/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "GNU General Public License v3.0",
        "zh": "GNU General Public License v3.0",
        "status": "identified",
        "spdx": "GPL-3.0-only",
        "evidenceUrl": "https://github.com/heqi201255/TOMI/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/heqi201255/TOMI"
          ]
        },
        "checkpoint": {
          "status": "not-found",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/heqi201255/TOMI/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/heqi201255/TOMI/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2506-23094"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/heqi201255/TOMI"
        }
      ]
    },
    {
      "id": "mcomunita-tonetwist-afx-dataset",
      "name": "ToneTwist AFx",
      "description": {
        "en": "A community-extensible dry/wet dataset for nonlinear audio-effects modeling.",
        "zh": "面向非线性音频效果建模、可由社区扩展的干湿音频数据集。"
      },
      "areas": [
        "audio-effects",
        "evaluation"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/mcomunita/tonetwist-afx-dataset"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [],
        "reviewStatus": "not-reviewed"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/mcomunita/tonetwist-afx-dataset"
        }
      ]
    },
    {
      "id": "diffapf-torchcomp",
      "name": "TorchComp",
      "description": {
        "en": "A differentiable dynamic range compressor and expander for PyTorch.",
        "zh": "面向 PyTorch 的可微动态范围压缩与扩展处理器。"
      },
      "areas": [
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/DiffAPF/torchcomp"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [],
        "reviewStatus": "not-reviewed"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/DiffAPF/torchcomp"
        }
      ]
    },
    {
      "id": "diffapf-torchlpc",
      "name": "TorchLPC",
      "description": {
        "en": "Fast differentiable time-varying all-pole filtering in PyTorch.",
        "zh": "PyTorch 中快速、可微且支持时变系数的全极点滤波器。"
      },
      "areas": [
        "audio-effects",
        "differentiable-processing"
      ],
      "taxonomy": {
        "tasks": [],
        "effects": [],
        "reviewStatus": "not-reviewed",
        "evidence": []
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/DiffAPF/torchlpc"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2404-07970"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-25",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/DiffAPF/torchlpc"
        }
      ]
    },
    {
      "id": "user-tian-violet",
      "name": "VIOLET",
      "description": {
        "en": "Technique- and dynamics-conditioned violin synthesis code with an accompanying public dataset.",
        "zh": "带演奏技法和力度条件的小提琴合成代码及配套公开数据集。"
      },
      "areas": [
        "symbolic-performance"
      ],
      "taxonomy": {
        "tasks": [
          "performance-rendering"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/User-tian/VIOLET/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "MIT License",
        "zh": "MIT License",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/User-tian/VIOLET/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/User-tian/VIOLET"
          ]
        },
        "checkpoint": {
          "status": "not-found",
          "evidence": []
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/User-tian/VIOLET/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/User-tian/VIOLET/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/User-tian/VIOLET/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2608-07944"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/User-tian/VIOLET"
        }
      ]
    },
    {
      "id": "jdasam-virtuosonet",
      "name": "VirtuosoNet",
      "description": {
        "en": "Hierarchical expressive-piano rendering code with graph score encoders, inference tools, and pretrained models.",
        "zh": "包含图乐谱编码器、推理工具和预训练模型的层级式表现力钢琴渲染实现。"
      },
      "areas": [
        "symbolic-performance",
        "representation"
      ],
      "taxonomy": {
        "tasks": [
          "symbolic-performance",
          "performance-rendering",
          "representation-learning"
        ],
        "effects": [
          "other"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/jdasam/virtuosoNet/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/jdasam/virtuosoNet"
          ]
        },
        "checkpoint": {
          "status": "linked",
          "evidence": [
            "https://huggingface.co/dasaem/virtuosonet"
          ]
        },
        "inference": {
          "status": "documented",
          "evidence": [
            "https://github.com/jdasam/virtuosoNet/blob/HEAD/README.md"
          ]
        },
        "training": {
          "status": "documented",
          "evidence": [
            "https://github.com/jdasam/virtuosoNet/blob/HEAD/README.md"
          ]
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/jdasam/virtuosoNet/blob/HEAD/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "icml-2019-graph-score-performance",
          "ismir-2019-virtuosonet"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/jdasam/virtuosoNet"
        },
        {
          "label": "checkpoint",
          "url": "https://huggingface.co/dasaem/virtuosonet"
        }
      ]
    },
    {
      "id": "jaeyeonkim99-visage",
      "name": "ViSAGe",
      "description": {
        "en": "Official implementation and YT-Ambigen resources for video-to-Ambisonics generation.",
        "zh": "视频到 Ambisonics 生成的官方实现及 YT-Ambigen 资源。"
      },
      "areas": [
        "spatial-audio"
      ],
      "taxonomy": {
        "tasks": [
          "spatial-generation"
        ],
        "effects": [
          "stereo"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/jaeyeonkim99/visage/blob/HEAD/README.md"
        ]
      },
      "license": {
        "en": "MIT",
        "zh": "MIT",
        "status": "identified",
        "spdx": "MIT",
        "evidenceUrl": "https://github.com/jaeyeonkim99/visage/blob/HEAD/LICENSE"
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/jaeyeonkim99/visage"
          ]
        },
        "checkpoint": {
          "status": "not-reviewed",
          "evidence": []
        },
        "inference": {
          "status": "not-reviewed",
          "evidence": []
        },
        "training": {
          "status": "not-reviewed",
          "evidence": []
        },
        "dataset": {
          "status": "not-reviewed",
          "evidence": []
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2506-12199"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-27",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/jaeyeonkim99/visage"
        }
      ]
    },
    {
      "id": "isaacyqh-wildfx",
      "name": "WildFX",
      "description": {
        "en": "Containerized REAPER pipeline for generating multitrack audio datasets with heterogeneous VST, VST3, LV2, or CLAP effect graphs and project metadata.",
        "zh": "基于 REAPER 的容器化多轨数据生成流程，支持异构 VST、VST3、LV2、CLAP 效果图与工程元数据。"
      },
      "areas": [
        "audio-effects",
        "mixing",
        "production-program"
      ],
      "taxonomy": {
        "tasks": [
          "automatic-mixing",
          "production-program",
          "production-graph"
        ],
        "effects": [
          "multi-effect"
        ],
        "reviewStatus": "reviewed",
        "evidence": [
          "https://github.com/IsaacYQH/WildFX/blob/main/README.md"
        ]
      },
      "license": {
        "en": "No repository license file verified",
        "zh": "未核验到仓库许可证文件",
        "status": "not-verified",
        "spdx": null,
        "evidenceUrl": null
      },
      "availability": {
        "source": {
          "status": "linked",
          "evidence": [
            "https://github.com/IsaacYQH/WildFX"
          ]
        },
        "checkpoint": {
          "status": "not-applicable",
          "evidence": []
        },
        "inference": {
          "status": "not-applicable",
          "evidence": []
        },
        "training": {
          "status": "not-applicable",
          "evidence": []
        },
        "dataset": {
          "status": "documented",
          "evidence": [
            "https://github.com/IsaacYQH/WildFX/blob/main/README.md"
          ]
        }
      },
      "relations": {
        "paperIds": [
          "arxiv-2507-10534"
        ],
        "reviewStatus": "exact-link-match"
      },
      "lastVerified": "2026-08-31",
      "links": [
        {
          "label": "source",
          "url": "https://github.com/IsaacYQH/WildFX"
        }
      ]
    }
  ]
}