ChatTTS

ChatTTS is a voice generation model on GitHub at 2noise/chattts, specifically designed for conversational scenarios. It is ideal for applications such as dialogue tasks for large language model assistants, as well as conversational audio and video introductions. The model supports both Chinese and English, demonstrating high quality and naturalness in speech synthesis. ChatTTS is trained on approximately 100,000 hours of Chinese and English data.

To use ChatTTS, download the code from GitHub, install necessary packages, import required libraries, initialize ChatTTS, prepare the text, generate speech, and play the audio. Detailed steps and examples are provided in the documentation.

ChatTTS can be used for various applications, including conversational tasks for large language model assistants, video and audio introductions, and any application or service requiring text-to-speech functionality.

Yes, ChatTTS supports both Chinese and English, making it suitable for use in multilingual environments and meeting the needs of diverse language users.

Developers can integrate ChatTTS into their applications using the provided API and SDKs. Detailed documentation and examples are available to guide developers through the integration process.

ChatTTS is trained on approximately 100,000 hours of Chinese and English data, including a wide variety of spoken content to help the model learn to generate natural and high-quality speech.

Yes, the project team plans to release an open-source version of ChatTTS that is trained on 40,000 hours of data, enabling developers and researchers to explore and expand upon ChatTTS’s capabilities.