ChatTTS: Text-to-Speech For Chat

ChatTTS is an open-source text-to-speech model designed for conversational scenarios. Generate natural voices in Chinese and English with 100,000+ hours of training data.

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ChatTTS: Text-to-Speech For Chat
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Introducción

What is ChatTTS?

ChatTTS is an open-source text-to-speech voice generation model available on GitHub (2noise/chattts). Specifically designed for conversational scenarios, it produces highly natural and expressive speech in both Chinese and English, making it ideal for dialogue-based AI applications.

Key Features

  • Conversational Optimization: Purpose-built for dialogue tasks, producing natural-sounding speech with appropriate intonation and pacing for conversations.
  • Bilingual Support: Full support for both Chinese and English with high-quality, natural synthesis in each language.
  • Massive Training Data: Trained on approximately 100,000 hours of Chinese and English speech data for superior voice quality.
  • Open-Source Model: The base model trained on 40,000 hours of data is open-sourced for academic and developer communities.
  • LLM Integration: Designed to work seamlessly as the voice component for large language model assistants and chatbots.
  • Versatile Applications: Suitable for dialogue tasks, audio/video introductions, narration, and podcast generation.

Use Cases

  • Voice output for ChatGPT-like AI assistants
  • Automated podcast and audio content creation
  • Video narration and voiceover generation
  • Customer service chatbot voice interfaces
  • Accessibility tools for text-to-speech conversion

Getting Started

Visit the GitHub repository at 2noise/chattts to access the model, documentation, and community resources. The open-source version supports local deployment and customization.