bytedance/music_source_separation

Health v2 · maintenance only

Flags: no_releases archived no_license

Adoption not part of the score

1383 stars · 200 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A PyTorch implementation of music source separation that splits songs into sources like vocals and accompaniment. It ships pretrained checkpoints and a CLI for inference, plus full training scripts to build custom separation systems.

Use cases

• separate vocals from accompaniment in a song
• remove vocals from mp3 tracks
• batch separate a directory of audio files
• train a custom source separation model on MUSDB18
• train speech enhancement or instrument separation systems
• integrate a separation model into my own Python program

When to choose

• you need vocal/accompaniment separation with pretrained checkpoints
• you want a reproducible PyTorch training pipeline for separation tasks
• you need batch CLI processing of audio files

When to avoid

• you need real-time or streaming separation
• you need many source types beyond vocals/accompaniment out of the box
• you need a maintained GUI or production-grade service

Facets

library · maturity maintenance

audio-processing machine-learning deep-learning cli machine-learning media python cross-platform music-source-separation pytorch vocal-removal audio-separation musdb18 speech-enhancement audio linux macos

Member repositories

For agents

markdown · JSON · MCP: product_card(name="bytedance/music_source_separation")