AI/ML Audio Processing Library
6.7k 2026-04-18

Blaizzy/mlx-audio

A high-performance library built on Apple's MLX framework, offering efficient text-to-speech, speech-to-text, and speech-to-speech capabilities optimized for Apple Silicon.

Core Features

Fast inference optimized for Apple Silicon (M series chips)
Multiple model architectures for TTS, STT, and STS
Multilingual support and voice customization
OpenAI-compatible REST API and Swift package for integration
Quantization support for optimized performance

Quick Start

pip install mlx-audio

Detailed Introduction

MLX-Audio is a cutting-edge audio processing library leveraging Apple's MLX framework to deliver unparalleled speed and efficiency for speech-related AI tasks on Apple Silicon. It provides robust functionalities for text-to-speech, speech-to-text, and speech-to-speech conversions, supporting various model architectures and multilingual capabilities. With features like voice customization, an interactive web interface, an OpenAI-compatible API, and quantization support, it empowers developers to build high-performance, intelligent audio applications tailored for Apple's hardware ecosystem.

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