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mlx-audio

mlx-audio is an Apple MLX-based audio processing library that runs on Apple Silicon processors. It supports functions such as text reading (TTS), audio to text (STT), audio to audio (STS), and music production. The model offers quantaming and OpenAI compatible REST API.

ML

mlx-audio

80

Blaizzy · Voice & Text-to-Speech

STARS8.2K
FORKS782
COMMITS0
CONTRIBUTORS0
VERSIONv0.5.6
UPDATEDtoday
PythonAudio ProcessingMLXTTSMIT

Common commercial products in this category: ElevenLabs, Amazon Polly, Google Cloud Text-to-Speech

What can it do?
  • On Apple Silicon, you convert text into audio files.
  • You run audio models with a web interface or API server.
  • You do model quantization at different bit rates.
User reviews
  • • NeutralGitHub Issue

    TTS and STS Models to port to MLX-Audio (Roadmap)

    “## Overview This issue outlines our roadmap for integrating additional text-to-speech (TTS) and speech-to-speech (STS) models into the MLX-Audio library to expand our offerings beyond the current Kokoro model. ## Text-to-Speech (TTS) Models ### Planned TTS Models - [x] **Nari…”

  • ↓ NegativeGitHub Issue

    Memory Usage in Kokoro

    “I'm trying to incorporate MLX-Audio into [AIChat]( that generates a conversation between two LLMs as speech. However, memory consumption just goes up and up and up indefinitely as I generate more. I don't have this problem with kokoro-onnx. I'm not sure if it's my code or…”

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Alternative pages

ElevenLabs alternativesAmazon Polly alternativesGoogle Cloud Text-to-Speech alternatives

More in: Voice & Text-to-Speech