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效率与协作 · SKILL.md

speech-transforms-vad

speech-transforms-vad

【效率与协作】Use MLX Audio for speech enhancement, source separation, VAD, realtime turn detection, and shared audio I/O workflows.

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技能说明

GitHub

name: speech-transforms-vad description: "Use MLX Audio for speech enhancement, source separation, VAD, realtime turn detection, and shared audio I/O workflows." disable-model-invocation: true metadata: disco-role: operating license: MIT

Speech Transforms and VAD

Use this sub-skill when the user needs audio enhancement, source separation, speech activity detection, realtime turn detection, or shared audio I/O and resampling guidance.

Route Here For

  • Speech enhancement and source separation.
  • VAD and diarization-style turn detection.
  • Server-side server_vad planning.
  • Audio I/O, resampling, normalization, trimming, and fixture validation.
  • Safe command planning for mlx_audio.sts.generate and VAD probes.

Route Elsewhere

  • For TTS generation or cloning, use ../tts-generation/.
  • For transcription, alignment, or WER, use ../stt-transcription/.
  • For server endpoints or conversion, use ../server-and-conversion/.

Fast Paths

  • See references/audio-io-and-dsp.md for shared audio handling.
  • See references/vad-and-realtime.md for turn detection and server-side VAD.
  • See references/troubleshooting.md for audio, threshold, and dependency failures.
  • Use scripts/validate_audio_io.py to confirm a tiny round trip.
  • Use scripts/vad_turn_detection_probe.py to inspect synthetic VAD events.
  • Use scripts/sts_command_builder.py to shape a safe enhancement command.
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