File size: 1,584 Bytes
2677c0d 7102e14 2677c0d 7102e14 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 | ---
license: mit
language:
- en
tags:
- onnx
- audio
- voice-isolation
- speech
- demucs
- bsrnn
pipeline_tag: audio-to-audio
library_name: onnxruntime
---
# VoiceIsolate-Models
Quantized ONNX models used by [VoiceIsolate Pro](https://github.com/Joker5514/VoiceIsolate-Pro) for on-device, GPU-accelerated voice isolation and audio enhancement.
All inference runs 100% client-side in the browser via ONNX Runtime Web (WebGPU / WASM fallback). No server required.
## Models in this Repository
| File | Description | Size | Source |
|---|---|---|---|
| `demucs_v4_quantized.onnx` | Demucs v4 HTDemucs int8-quantized — stem-level voice isolation | ~83 MB | [facebookresearch/demucs](https://github.com/facebookresearch/demucs) |
| `bsrnn_vocals.onnx` | BSRNN Band-Split RNN vocals separator | ~45 MB | [crlandsc/bsrnn](https://github.com/crlandsc/bsrnn) |
## Usage
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.
```js
// MODEL_REGISTRY entry in ml-worker-fetch-cache.js
demucs_v4: {
path: 'models/demucs_v4_quantized.onnx',
sizeBytes: 87_031_808,
cdnUrls: ['https://huggingface.co/Joker5514/VoiceIsolate-Models/resolve/main/demucs_v4_quantized.onnx']
},
bsrnn_vocals: {
path: 'models/bsrnn_vocals.onnx',
sizeBytes: 3_870_554,
cdnUrls: ['https://huggingface.co/Joker5514/VoiceIsolate-Models/resolve/main/bsrnn_vocals.onnx']
}
```
## License
MIT. Model weights inherit the licenses of their respective upstream projects:
- Demucs: MIT
- BSRNN: MIT |