Neywa-Labs/mlx-audio
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A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
6 mentions on Hacker News by 5 people: 0 stories, 6 comments · first 2025-04-28 · latest 2026-03-16
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…and Claude Code, and it uses STT and TTS from mlx-audio for those portions to be locally hosted: https://github.com/Blaizzy/mlx-audio Here are the following models I found work well: - Qwen ASR and TTS are really good. Qwen ASR is faster…
comment by bachittle · 2026-03-16 · in My Journey to a reliable and enjoyable locally hosted voice assistant (2025) -
…https://github.com/FluidInference/FluidAudio https://github.com/DePasqualeOrg/mlx-swift-audio https://github.com/Blaizzy/mlx-audio https://github.com/k2-fsa/sherpa-onnx
comment by pzo · 2026-03-10 · in Launch HN: RunAnywhere (YC W26) – Faster AI Inference on Apple Silicon -
…speech, I've seen: The mlx-audio package has some MLX implementations of speech to speech models: https://github.com/Blaizzy/mlx-audio/tree/main kyutai Moshi, maybe old now but has a MLX implementation of their speech to speech model:…
comment by doonielk · 2026-01-24 · in Ask HN: What's the current best local/open speech-to-speech setup? -
…record a sample wav file with a sentence or two, and then try this: uv tool install --force git+https://github.com/Blaizzy/mlx-audio.git --prerelease=allow python -m mlx_audio.tts.generate --model mlx-community/Qwen3-TTS-12Hz-0.6B-Base-bf16…
comment by rahimnathwani · 2026-01-23 · in Qwen3-TTS family is now open sourced: Voice design, clone, and generation -
…voices: https://huggingface.co/mlx-community/Qwen3-TTS-12Hz-0.6B-Bas... uv tool install --force git+https://github.com/Blaizzy/mlx-audio.git --prerelease=allow python -m mlx_audio.tts.generate --model mlx-community/Qwen3-TTS-12Hz-0.6B-Base-…
comment by rahimnathwani · 2026-01-23 · in Qwen3-TTS family is now open sourced: Voice design, clone, and generation -
…) I haven't tried mlx-audio yet (which can synthesize speech) but it looks interesting too: https://github.com/Blaizzy/mlx-audio The two best people to follow for MLX stuff are Apple's Awni Hannun - https://twitter.com/awnihannun and…
comment by simonw · 2025-04-28 · in Tiny-LLM – a course of serving LLM on Apple Silicon for systems engineers