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ChatTTS

2noise/ChatTTS · Updated

A generative speech model for daily dialogue.

2noise/ChatTTS is a Python repository in the AI Agents category with 39,959 stars and 4,247 forks on GitHub, released under the AGPL-3.0 license, last updated 6mo ago.

#agent#chat#chatgpt#chattts#chinese#chinese-language#english#english-language
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How to install ChatTTS in your AI client

Setup for Claude Code, Claude Desktop, Cursor, Codex, Windsurf, Cline and VS Code — copy-paste ready.

How to install ChatTTS in Claude CodeAnthropic's agentic CLI

  1. Clone & open

    bash
    git clone https://github.com/2noise/ChatTTS.git
    cd ChatTTS
    claude
  2. Let Claude read it

    Ask “/init” to generate a CLAUDE.md, then have Claude explain, run, or extend the codebase. It reads files on demand.

Documentation

Full README

ChatTTS

A generative speech model for daily dialogue.

English | **简体中文** | **日本語** | **Русский** | **Español** | **Français** | **한국어**

Introduction

[!Note] This repo contains the algorithm infrastructure and some simple examples.

[!Tip] For the extended end-user products, please refer to the index repo Awesome-ChatTTS maintained by the community. You can find a diagram visualization of the codebase here.

ChatTTS is a text-to-speech model designed specifically for dialogue scenarios such as LLM assistant.

Supported Languages

  • [x] English
  • [x] Chinese
  • [ ] Coming Soon...

Highlights

You can refer to [this video on Bilibili](https://www.bilibili.com/video/BV1zn4y1o7iV) for the detailed description.

  1. Conversational TTS: ChatTTS is optimized for dialogue-based tasks, enabling natural and expressive speech synthesis. It supports multiple speakers, facilitating interactive conversations.
  2. Fine-grained Control: The model could predict and control fine-grained prosodic features, including laughter, pauses, and interjections.
  3. Better Prosody: ChatTTS surpasses most of open-source TTS models in terms of prosody. We provide pretrained models to support further research and development.

Dataset & Model

[!Important] The released model is for academic purposes only.

Excerpt — the full document is on GitHub.

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