Demucs
State-of-the-art music source separation
Demucs is a deep learning model from Meta Research that separates music into individual stems such as vocals, drums, bass, and other instruments. It runs locally for self-hosted audio processing pipelines.
Key features
- Multi-stem separation
- High separation quality
- CPU and GPU support
- Command-line interface
Strengths
- Released under the MIT license
- Active community (3k GitHub stars)
- Written in Python
Demucs replaces
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