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Blaizzy/mlx-audio

An efficient audio processing library built on Apple's MLX framework, enabling fast text-to-speech, speech-to-text, and speech-to-speech capabilities on Apple Silicon devices.

Core Features

Fast inference optimized for Apple Silicon (M series chips)

Multiple model architectures for TTS, STT, and STS with multilingual support

Voice customization, cloning, and adjustable speech speed control

Quantization support (3-bit to 8-bit) for optimized performance

Interactive web interface, OpenAI-compatible REST API, and Swift package for iOS/macOS integration

Quick Start

pip install mlx-audio

Detailed Introduction

MLX-Audio is a powerful open-source library leveraging Apple's MLX framework to deliver high-performance speech processing on Apple Silicon. It provides comprehensive functionalities for text-to-speech (TTS), speech-to-text (STT), and speech-to-speech (STS), making it an ideal tool for developers building AI-powered audio applications. With features like multilingual support, voice customization, and quantization, MLX-Audio offers an efficient and flexible solution for integrating advanced speech capabilities into macOS and iOS projects, complete with a web interface and API for broader accessibility.