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license: mit
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---
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---
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license: mit
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language:
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- en
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tags:
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- onnx
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- audio
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- voice-isolation
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- speech
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- demucs
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- bsrnn
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pipeline_tag: audio-to-audio
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library_name: onnxruntime
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# VoiceIsolate-Models
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Quantized ONNX models used by [VoiceIsolate Pro](https://github.com/Joker5514/VoiceIsolate-Pro) for on-device, GPU-accelerated voice isolation and audio enhancement.
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All inference runs 100% client-side in the browser via ONNX Runtime Web (WebGPU / WASM fallback). No server required.
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## Models in this Repository
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| File | Description | Size | Source |
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|---|---|---|---|
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| `demucs_v4_quantized.onnx` | Demucs v4 HTDemucs int8-quantized — stem-level voice isolation | ~83 MB | [facebookresearch/demucs](https://github.com/facebookresearch/demucs) |
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| `bsrnn_vocals.onnx` | BSRNN Band-Split RNN vocals separator | ~45 MB | [crlandsc/bsrnn](https://github.com/crlandsc/bsrnn) |
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## Usage
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These models are fetched automatically by `ml-worker-fetch-cache.js` in VoiceIsolate Pro. They are cached in IndexedDB after the first download and never re-fetched.
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```js
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// MODEL_REGISTRY entry in ml-worker-fetch-cache.js
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demucs_v4: {
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path: 'models/demucs_v4_quantized.onnx',
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sizeBytes: 87_031_808,
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cdnUrls: ['https://huggingface.co/Joker5514/VoiceIsolate-Models/resolve/main/demucs_v4_quantized.onnx']
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},
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bsrnn_vocals: {
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path: 'models/bsrnn_vocals.onnx',
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sizeBytes: 3_870_554,
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cdnUrls: ['https://huggingface.co/Joker5514/VoiceIsolate-Models/resolve/main/bsrnn_vocals.onnx']
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}
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```
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## License
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MIT. Model weights inherit the licenses of their respective upstream projects:
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- Demucs: MIT
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- BSRNN: MIT
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