ChatTTS is a powerful text-to-speech (TTS) model designed specifically for conversational scenarios, such as dialogue tasks for large language model (LLM) assistants.
Key Features of ChatTTS:
Multi-language support: ChatTTS supports both English and Chinese, allowing it to serve a wide range of users.
Large data training: The model has been trained on approximately 100,000 hours of Chinese and English data, resulting in high-quality and natural-sounding voice synthesis.
Dialogue task compatibility: ChatTTS is well-suited for handling dialog tasks typically assigned to LLMs. It can generate responses for conversations and provide a more natural and fluid interaction experience when integrated into various applications.
Fine-grained control: The model can predict and control fine-grained prosodic features, including laughter, pauses, and interjections, surpassing most open-source TTS models in terms of prosody.
Ease of use: ChatTTS requires only text input to generate corresponding voice files, making it convenient for users with voice synthesis needs.
To use ChatTTS, you can download the code from GitHub, install the required dependencies, and initialize the model. Then, simply provide the text you want to convert to speech, and the model will generate the corresponding audio.
The project team plans to open-source a trained base model, enabling academic researchers and developers to further study and develop the technology. They are also committed to improving the controllability of the model, adding watermarks, and integrating it with LLMs to ensure safety and reliability.