Audio Stem Separator With Demucs
agentskillexchange/skillsSeparates audio tracks into individual stems (vocals, drums, bass, other) using Meta's Demucs neural network model via the demucs Python package. Supports batch processing of WAV and MP3 files, outputs isolated stems in FLAC or WAV format, and integrates with FFmpeg for format conversion and loudness matching post-separation.
At a glance
This skill is for Design and helps you separate vocals from instrumental tracks, isolate drums from audio files, and extract bass stems from songs.
git clone --depth 1 https://github.com/agentskillexchange/skills
cp -r skills/skills/audio-stem-separator-demucs ~/.claude/skills/audio-stem-separator-demucs
Setup, runtime and requirements describe agentskillexchange/skills, the repo this skill ships in.
Demucsaudio-processingStem Separationneural-networksMusic Productionffmpeg
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