ChatTTS: Free Text-to-Speech for Conversational Scenarios 321

ChatTTSVideoDemo

ChatTTS is a free online text-to-speech TTS model specifically designed for conversational scenarios, suitable for natural, conversational text-to-speech. It supports both English and Chinese. This speech-to-text TTS model is arguably the best in terms of Chinese support currently available. The ChatTTS model has been trained on over 100,000 hours of data, and the public version provides a 40,000-hour pre-trained model on HuggingFace. It is specifically optimized for conversational tasks, capable of supporting multiple speaker voices and mixed Chinese-English speech.

ChatTTS can also predict and control fine-grained prosodic features such as laughter, pauses, and interjections, as well as perform finer-grained adjustments such as speech rate, pitch, and emotion.

ChatTTS Features:

• Conversational TTS: ChatTTS is optimized for conversational tasks, achieving natural and smooth speech synthesis while supporting multiple speakers.

• Fine-grained Control: The model can predict and control fine-grained prosodic features, including laughter, pauses, and insertion words.

• Better Prosody: ChatTTS surpasses most open-source TTS models in prosody. It also provides pre-trained models to support further research.

ChatTTS Functions:

• Multilingual Support: One of ChatTTS's main features is support for multiple languages, including English and Chinese. This enables it to serve a wide range of users and overcome language barriers.

• Large-scale Data Training: ChatTTS has been trained on a massive amount of data, approximately 10 million hours of Chinese and English data. This extensive training results in high-quality and natural speech synthesis.

• Dialogue Task Compatibility: ChatTTS is well-suited for handling dialogue tasks typically assigned to large language models (LLMs). It can generate conversational responses and provide a more natural and fluid interactive experience when integrated into various applications and services.

• Open-source Plan: The project team plans to open-source a well-trained base model. This will enable academic researchers and developers in the community to further research and develop the technology.

• Control and Safety: The team is committed to improving the controllability of the model, adding watermarks, and integrating with LLMs. These efforts ensure the safety and reliability of the model.

• Ease of Use: ChatTTS provides an easy-to-use experience for its users. It only requires text input to generate the corresponding speech file. This simplicity offers convenience for users with speech synthesis needs.

What can ChatTTS be used for?

ChatTTS can be used for various applications, including dialogue tasks for large language model assistants, generating conversational speech, video introductions, educational and training content speech synthesis, and any application or service that requires text-to-speech functionality.

Compared with other text-to-speech models, what makes ChatTTS unique?

ChatTTS is specifically optimized for conversational scenarios, making it particularly suitable for conversational applications. It supports both Chinese and English and has been trained on a large-scale dataset to ensure high-quality, natural speech synthesis. In addition, the plan to open-source a base model trained on 40,000 hours of data sets it apart, promoting further research and development in the field.

ChatTTS Github Open-source Address:https://github.com/2noise/ChatTTS

Related Information:

10 Excellent Open-Source TTS Voice Models Recommendations