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mlx-audio

mlx-audio

Use MLX Audio for local TTS, STT, speech enhancement, VAD, realtime speech routing, API serving, and conversion workflows.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: mlx-audio description: "Use MLX Audio for local TTS, STT, speech enhancement, VAD, realtime speech routing, API serving, and conversion workflows." disable-model-invocation: true metadata: disco-role: operating license: MIT

MLX Audio Repo Skill

Use this skill for practical work with mlx-audio 0.4.8: package installation, model-family selection, CLI routing, shared audio I/O, speech streaming, server endpoints, and conversion/quantization guidance.

Start Here

  1. Check the install and core APIs with scripts/check_install.py.
  2. Read references/install-and-dependencies.md for extras, backend notes, and safe setup.
  3. Use references/api-reference.md and references/model-overview.md for verified package facts.
  4. Route the task to the focused sub-skill below instead of treating this root file as a manual.

Route by Task

Core Safety Defaults

  • Prefer package docs and the bundled scripts before launching long jobs.
  • Use tiny fixtures, parser checks, and --help smoke tests before downloading weights or starting a server.
  • Treat real model execution as optional unless the user explicitly wants a full inference run.
  • For package import or dependency issues, consult references/troubleshooting.md first.

Bundled Root References

Bundled Root Scripts

Common Entry Points

  • mlx_audio.tts.generate and mlx_audio.tts.utils.load_model
  • mlx_audio.stt.generate and mlx_audio.stt.utils.load_model
  • mlx_audio.sts.generate
  • mlx_audio.server
  • mlx_audio.convert

When to Escalate

If the request needs model weights, device-specific performance claims, or realtime behavior that depends on unavailable hardware, keep the answer scoped to the bundled docs, parser checks, and safe command planning.

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