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VoiceIsolate-Models
Joker5514/VoiceIsolate-Models
VoiceIsolate-Models is a audio-to-audio model from Joker5514. Use it for the audio-to-audio task on the model card, and read the license before you ship it in a product. It is set up for onnxruntime. The card lists the license as mit.
Quantized ONNX models used by VoiceIsolate Pro for on-device, GPU-accelerated voice isolation and audio enhancement.
Access
Public
Updated May 19, 2026
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.md1.6 KB · 90%
At a glance
- Task
- Audio-to-Audio
- Library
- onnxruntime
- License
- mit
- Access
- Public
- Created
- May 19, 2026
- Updated
- May 19, 2026
- SHA
- 53241888
Model card
From the Hugging Face model README
VoiceIsolate-Models
Quantized ONNX models used by 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 |
bsrnn_vocals.onnx | BSRNN Band-Split RNN vocals separator | ~45 MB | 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.
// 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
- Task
- Audio-to-Audio
- Library
- onnxruntime
- License
- mit
- Languages
- en
- Created
- May 19, 2026
- Updated
- May 19, 2026