Default path: loudness normalization (recommended first)
Loudness-normalize to the platform target in one ffmpeg call. This is the right answer 90% of the time — the generated audio is already clean; it just needs the level right.
# Two-pass loudnorm to -14 LUFS (Spotify/YouTube/Apple/TikTok all target this).
bash ~/.claude/skills/claude-music/scripts/music_export.sh spotify input.flac output.flac
See references/post-processing.md for the full platform × LUFS table and
the measure-then-apply two-pass recipe if you need manual control.
Escape hatch 1 — AI vocal denoise (only if audible artifacts)
Use only when you hear artifacts in vocals (hissing, AI mush, robot tones). FFmpeg normalization won't help; you need DeepFilterNet3.
source ~/.video-skill/bin/activate
python3 ~/.claude/skills/claude-video/scripts/audio_enhance.py denoise \
input.flac --output output_clean.flac
Requires claude-video skill + DeepFilterNet3 weights. <1 GB VRAM.
Escape hatch 2 — stem separation (only if you need surgical edits)
Use only when you need to fix vocals/drums/bass/other separately, then remix. Not needed for normal enhancement.
source ~/.video-skill/bin/activate
python3 ~/.claude/skills/claude-video/scripts/audio_enhance.py separate \
input.flac --model htdemucs_ft --output-dir ./stems/
Produces vocals.wav, drums.wav, bass.wav, other.wav. ~7 GB VRAM.
Decision tree
Is the generated audio too quiet or too loud?
→ use the default path (loudnorm)
Do you hear specific vocal artifacts?
→ escape hatch 1 (denoise) THEN default path (loudnorm)
Do you need to fix one stem (e.g., reduce drums, retune vocal) before final mix?
→ escape hatch 2 (separate) → edit stem → remix → default path (loudnorm)
Format conversion
For platform-specific export (codec/bitrate/sample-rate), use
claude-music-export — it wraps music_export.sh with the right flags per
target (Spotify FLAC, YouTube MP3 320k, TikTok M4A 256k, etc.).
Scripts used here
scripts/music_export.sh— default loudnorm + format conversion path.~/.claude/skills/claude-video/scripts/audio_enhance.py— AI denoise and stem separation (external skill; must be installed separately).