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demucs_v3_saxophone_separation
xavriley/demucs_v3_saxophone_separation
demucs_v3_saxophone_separation is a machine learning model from xavriley. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
- paper: https://arxiv.org/abs/2405.16687
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Public
Updated Sep 18, 2025
Repo size
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At a glance
- License
- mit
- Access
- Public
- Created
- Sep 18, 2025
- Updated
- Sep 18, 2025
- SHA
- 21b4b76b
Model card
From the Hugging Face model README
Saxophone Source Separation model
Source separation model trained for the paper:
Reconstructing the Charlie Parker Omnibook using an audio-to-score automatic transcription pipeline Xavier Riley and Simon Dixon SMC 2024, Porto, Portugal
Separates tenor sax cleanly but struggles a little with high register playing.
Dependencies
pip install demucs==3.0.6
Usage
python -mdemucs --repo . -n filosax_demucs_v3_14.22_SDR.th -o . input.wav
Alternative
For an alternative you could also check out the UVR Wind model
pip install audio-separator[gpu] # or leave off [gpu] if you only have CPU
audio-separator -m 17_HP-Wind_Inst-UVR.pth input.wav
- License
- mit
- Created
- Sep 18, 2025
- Updated
- Sep 18, 2025