ChatTTS — A Generative Speech Model for Natural Dialogue Synthesis

Overview

ChatTTS is a text-to-speech model designed for dialogue scenarios, offering conversational TTS optimized for natural and expressive speech synthesis. It supports multiple speakers and fine-grained control over prosodic features, making it a unique solution for interactive conversational applications.

Key Features

Conversational TTS optimized for dialogue-based tasks
Fine-grained control over prosodic features including laughter, pauses, and interjections
Better prosody compared to most open-source TTS models

Use Cases

Use case 1: LLM assistant developers can use ChatTTS to create more natural and interactive voice assistants.
Use case 2: Researchers in speech synthesis can leverage ChatTTS for academic studies and model improvements.
Use case 3: Content creators can utilize ChatTTS to generate dialogues for podcasts or audiobooks.

Advantages

Supports multiple speakers for interactive conversations
Pretrained models available for further research and development
Open-source community support through the Awesome-ChatTTS index

Limitations / Considerations

The model is intended for academic and research use, with limitations on commercial use
The 40,000-hour model includes high-frequency noise and compressed audio quality to prevent misuse

[Project 1] - Brief note on differences
[Project 2] - Brief note on differences
[Project 3] - Brief note on differences

Basic Information

GitHub: https://github.com/2noise/ChatTTS
Stars: 37,729
License: Unknown
Last Commit: 2025-09-04

📊 Project Information

Project Name: ChatTTS
GitHub URL: https://github.com/2noise/ChatTTS
Programming Language: Python
⭐ Stars: 37,729
🍴 Forks: 4,079
📅 Created: 2024-05-27
🔄 Last Updated: 2025-09-04

🏷️ Project Topics

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