ChatTTS: Frequently Asked Questions

Q: What is ChatTTS?

A: ChatTTS is a text-to-speech (TTS) model designed specifically for dialogue scenarios. It’s optimized for natural and expressive speech synthesis in applications like LLM assistants, supporting both English and Chinese.

Q: What languages does ChatTTS support?

A: ChatTTS supports both English and Chinese languages. It is trained on a dataset of over 100,000 hours of combined Chinese and English speech.

Q: How is ChatTTS different from other TTS models?

A: ChatTTS is optimized for conversational contexts, offering fine-grained control over prosodic features like laughter, pauses, and interjections. It generally surpasses other open-source TTS models in prosody, leading to more natural-sounding speech.

Q: What are some potential use cases for ChatTTS?

A: ChatTTS can be used in AI assistants, interactive gaming, accessibility solutions, e-learning platforms, and customer service automation, among other applications.

Q: How can I use ChatTTS?

A: You can use ChatTTS with Python. You’ll need to import the ChatTTS library, load the models, and then use the infer function to generate speech from text. See code examples in the documentation.

Q: What kind of hardware do I need to run ChatTTS?

A: For generating a 30-second audio clip, you’ll need at least 4GB of GPU memory. On a 4090 GPU, it can generate audio corresponding to approximately 7 semantic tokens per second.

Q: Can I control emotions or other aspects of the generated speech besides laughter?

A: In the current released model, the only token-level control units are [laugh], [uv_break], and [lbreak]. Future versions may offer models with additional emotional control capabilities.

Q: Is ChatTTS free to use?

A: The open-source version of ChatTTS on Hugging Face is a pre-trained model that you can use for research and development purposes. However, please note the disclaimer regarding commercial use.

Q: Is ChatTTS safe to use?

A: ChatTTS implements some security measure. To limit potential misuse, the model includes small amount of high-frequency noise and compress the audio quality as much as possible using MP3 format. At the same time, there are plans to open-source detection model in the future.

Q: How does ChatTTS relate to the UBOS platform?

A: ChatTTS is an ideal tool for any AI Agent that will communicate with users via voice. UBOS users can leverage ChatTTS to create AI Agents that are not only functional but also pleasant to interact with, thanks to ChatTTS’s superior natural language capabilities.

Q: Where can I get more information about ChatTTS?

A: You can find more information on the ChatTTS GitHub repository, including usage examples, technical details, and the roadmap for future development.