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[Tracking] Complete audio task coverage across CPU, GPU, and NPU backends

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Valutazione

Difficoltà
5/5
Tempo stimato
Più di una settimana
Idoneità per principianti
20/100
Tipo di issue
Funzionalità
Chiarezza
Da chiarire
Stato di attività
Attiva
Stack tecnologico
python
Ambito
embedded-iot, machine-learning

Direzione di ricerca

Review the existing audio examples and issue #23131 first, then use the MLX-Audio references to choose one task from the priority list. Validate the selected model across CPU, GPU, and NPU backends, comparing quality and performance. Done means the task is covered with backend gaps and measured results recorded.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Descrizione

enhancement module: examples

Make ExecuTorch the go-to place for common audio tasks across CPU, GPU, and NPU backends. Prioritize task coverage, current model quality, MLX-Audio support, and Hugging Face adoption.

Implementation priority below. Evaluation candidates are conditional on a measured benefit over the selected model or existing examples.

  1. Qwen3-ASR 0.6B — multilingual transcription; evaluate 1.7B.
  2. Qwen3-ForcedAligner 0.6B — word-level alignment and timestamps.
  3. Qwen3-TTS — CustomVoice 0.6B, Base voice cloning, then 1.7B VoiceDesign.
  4. Nemotron 3.5 ASR streaming 0.6B — live transcription.
  5. Smart Turn v3 — conversational end-of-turn detection.
  6. Nemotron 3 Diarization — speaker diarization; extend backend coverage (#23131).
  7. Parakeet / Whisper — transcription and translation; extend existing examples.
  8. Silero VAD — speech activity detection; extend backend coverage.
  9. Supertonic 3 — lightweight TTS; extend backend coverage.
  10. Voxtral / Voxtral Realtime / Voxtral TTS — audio understanding, live ASR, and TTS; extend existing examples.
  11. LFM2.5-Audio 1.5B — speech-to-speech interaction.
  12. DeepFilterNet3 — speech enhancement and denoising.
  13. SAM-Audio — prompted sound extraction.
  14. DialogueSidon — overlapping speaker separation.
  15. Mel-Band-RoFormer — vocal/instrumental separation.
  16. MOSS-Music — music understanding and lyrics transcription.
  17. MiniMax Music 3 — music and song generation.
  18. VoxCPM2 — evaluate additional voice-cloning/design quality and control.
  19. Granite Speech 5.0 470M TurboCTC — evaluate compact English ASR.
  20. Canary v2 — evaluate uncovered speech-translation needs.
  21. VibeVoice-ASR Streaming — evaluate joint transcription/diarization beyond composed pipelines.
  22. MossFormer2 SE — evaluate enhancement quality beyond DeepFilterNet3.

Use available MLX-Audio references for initial comparisons, then validate across CPU, GPU, and NPU backends and track quality, performance, and backend gaps.

cc @iseeyuan @lucylq @helunwencser @tarun292 @kimishpatel @jackzhxng @metascroy

Lingua principale
Python
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Merge medio
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