steve-adminandClaude Sonnet 5
79691b81c6
Two-stem separation (vocals/instrumental) run on RTX 3090 against the shared sample clip. Isolated vocals.wav is meant as the clean voice reference for a future voice-cloning TTS step. Co-Authored-By: Claude Sonnet 5 <[email protected]> Claude-Session: https://claude.ai/code/session_01Y1oQ4h4WE4R9KRvMQLr5Ey
27 lines
1.1 KiB
Markdown
27 lines
1.1 KiB
Markdown
# demucs
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Source separation demos using [Demucs](https://github.com/facebookresearch/demucs) — splitting audio into stems (vocals, drums, bass, other).
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## Demo run
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Ran two-stem separation (vocals vs. everything else) on an RTX 3090 against
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`media-files/audio/service-mbrs-ntscrm-01840194-01840194.m4a`:
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```
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python3 -m demucs --two-stems=vocals -n htdemucs \
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-o separated \
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../media-files/audio/service-mbrs-ntscrm-01840194-01840194.m4a
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```
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Took ~12s for 11 minutes of audio. Outputs `vocals.wav` and `no_vocals.wav` (44.1kHz stereo PCM,
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duration matches source) under `separated/htdemucs/<track-name>/` — gitignored, left on the GPU
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box at `/root/projects/audio-demo/repo/demucs/separated/`.
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**Known gotcha:** demucs 4.1.0's package metadata doesn't declare `numpy` as a dependency even
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though `demucs/transformer.py` imports it directly — `pip install demucs` alone leaves the env
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broken (`ModuleNotFoundError: No module named 'numpy'` at runtime). Install `numpy` explicitly
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alongside it.
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The isolated `vocals.wav` is intended as the clean reference/source audio for a voice-cloning TTS
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step (see top-level README for the planned audio-translation pipeline).
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