b4fef19993cd5ecb57ce656ae3c6221dcfc24ab1
Runs entirely on CPU (no VRAM contention with ComfyUI), and sounds noticeably better than MOSS-SoundEffect per listening test, so it is now the default model. Toggle keeps MOSS-SoundEffect available as a fallback. Saved clips land in the-service-station/sfx_library/ on disk, no db/ metadata system per explicit scope. 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.
Description
Audio processing demos: WhisperX, Demucs, and TTS technology proofs-of-concept.
60 MiB
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Python
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