ChatTTS

ChatTTS is a voice generation model designed for conversational scenarios, specifically for the dialogue tasks of large language model assistants, as well as applications such as conversational audio and video introductions. It supports both Chinese and English, demonstrating high quality and naturalness in speech synthesis achieved through training on approximately 100,000 hours of Chinese and English data. The project team plans to open-source a basic model trained with 40,000 hours of data, aiding academic and developer communities in further research and development. ChatTTS ensures the naturalness of synthesized speech by training on a large and diverse dataset, capturing various speech patterns, intonations, and nuances. This results in high-quality, natural-sounding speech, making it ideal for applications requiring conversational interactions. Developers and researchers can benefit from ChatTTS by integrating it into their applications, such as chatbots, virtual assistants, and video introductions, to create more natural and engaging user experiences. The ease of use and high-quality speech synthesis make ChatTTS a valuable tool for those looking to enhance their applications with conversational capabilities.