M
mlx-audio
Blaizzy/mlx-audio
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.
★7.7kstars
Python
MIT
Updated: Today
📋 Project at a Glance
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What's this?A open-source Models project, built with Python, focusing on apple-silicon and audio-processing
Who made it?Maintained by Blaizzy team, 7.7K⭐ on GitHub, #200 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the Blaizzy team identified the need for better apple-silicon solutions. mlx-audio was created to simplify audio-processing workflows.
What can it do?Key use cases: mlx, multimodal, speech-recognition
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/Blaizzy/mlx-audio | 官网 https://blaizzy.github.io/mlx-audio/
🔗 github.com/Blaizzy/mlx-audio | 官网 https://blaizzy.github.io/mlx-audio/
Topics
apple-siliconaudio-processingmlxmultimodalspeech-recognitionspeech-synthesisspeech-to-texttext-to-speechtransformers