[P] On-device speech toolkit for Apple Silicon — ASR, TTS, diarization, speech-to-speech, all in native Swift

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Open-source Swift package running 11 speech models on Apple Silicon via MLX (GPU) and CoreML (Neural Engine). Fully local inference, no cloud dependency. Models implemented: ASR - Qwen3-ASR 0.6B/1.7B (4-bit), Parakeet TDT (CoreML INT4) - RTF ~0.06 on M2 Max TTS - Qwen3-TTS 0.6B (4-bit), CosyVoice3 0.5B (4-bit) - Streaming, ~120ms first chunk Speech-to-speech - PersonaPlex 7B (4-bit) - Full-duplex, RTF ~0.87 VAD - Silero v5, Pyannote segmentation-3.0 - Streaming + overlap detection Diarization...