@ai_fast_track
RT @Prince_Canuma: mlx-audio v0.4.0 is here 🚀 What's new: → Qwen3-TTS: fastest generation on Apple silicon and first batch support.…
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RT @Prince_Canuma: mlx-audio v0.4.0 is here 🚀 What's new: → Qwen3-TTS: fastest generation on Apple silicon and first batch support.…
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"text": "mlx-audio v0.4.0 is here 🚀\n\nWhat's new: \n→ Qwen3-TTS: fastest generation on Apple silicon and first batch support.\n > Sequential (<80 ms TTFB at 2.75x realtime)\n > Batch support (<210 ms TTFB at 4.12x for batch of 4-8) \n\n→ Audio separation UI & server \n→ nvfp4, mxfp4, mxfp8 quantization \n→ Streaming /v1/audio/speech endpoint → Realtime STT streaming toggle\n\nNew models: \n→ Echo TTS\n→ Voxtral Mini 4B, \n→ MingOmni TTS (MoE + Dense)\n→ KittenTTS\n→ Parakeet v3\n→ MedASR \n→ Spoken language identification (MMS-LID)\n→ Sortformer diarization + Smart Turn v3 semantic (VAD)\n\nPlus fixes for Kokoro Chinese TTS, Pocket TTS, Whisper, Qwen3-ASR, and more.\n\nThank you very much to @lllucas, @beshkenadze, @KarnikShreyas, @andimarafioti, @mnoukhov and welcome the 13 new contributors 🙌🏽\n\nGet started today: \n\n> pip install -U mlx-audio\n\nLeave us a star ⭐ \nhttps://t.co/bQ5WBLR6FK",
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