steve-adminandClaude Sonnet 5
57ae9deb30
Pedalboard-based chain (warmth EQ, presence dip, compression, light reverb, hard-ceiling limiter) fixes the spectral imbalance behind generated TTS sounding tinny - see mastering/master.py docstring and commit history for the before/after spectral analysis and the A/B tuning pass against real character clips. Pipeline Studios Generate step can auto-apply it; the standalone tab works on any clip. Co-Authored-By: Claude Sonnet 5 <[email protected]>
audio-demo
Audio processing demos: WhisperX, Demucs, and TTS technology proofs-of-concept.
Structure
whisperx/— speech-to-text with word-level alignment and diarizationdemucs/— source separation (vocals/instrumentals stem splitting)tts/— text-to-speech service demos (voice cloning via MOSS-TTS)auk/— voice editing demos (emotion/pitch/speed/content editing on existing recordings, as opposed totts/'s clone-and-generate approach)webui/— interactive pipeline studio chaining demucs -> AuK -> MOSS-TTS with previews
Each subdirectory has its own README with setup and run instructions.
Requirements
Some demos are GPU-accelerated and are best run on a CUDA-capable machine (e.g. an RTX 3090).
Planned: full audio-translation demo
Chain the three demos together on media-files/ into an end-to-end pipeline:
demucs— separate the source clip into vocals / instrumental stemswhisperx— transcribe the isolated vocal stem, then machine-translate the transcripttts— clone the original speaker's voice (from the isolated vocal stem) and synthesize the translated text in that voice, then remix with the original instrumental stem
Stem separation and transcription are already working end to end (see demucs/README.md and
whisperx/README.md); translation and voice-cloning TTS are not yet implemented.