ChatTTS is a cutting-edge voice generation model tailored for conversational scenarios. It’s designed to work with large language model (LLM) assistants, offering high-quality speech synthesis. The model supports both English and Chinese, making it versatile for various users. With around 100,000 hours of training data, ChatTTS achieves a natural and fluid speech output .
One of the standout features of ChatTTS is its multilingual capabilities. This allows it to cater to a broad audience and bridge language gaps effectively. The extensive training on a vast dataset ensures the voices produced are clear and lifelike. Developers and researchers will appreciate that the base model is planned to be open-sourced.
ChatTTS excels in dialog tasks, providing a seamless conversational experience. It’s integrated into applications to enhance user interactions. The team focuses on model controllability, watermarking, and LLM integration. These improvements aim to bolster the model’s safety and reliability.
Getting started with ChatTTS is straightforward. Users can download the code from GitHub and install necessary packages like torch and ChatTTS using pip. The process involves importing libraries, creating a ChatTTS instance, and using the infer method to convert text to speech. The simplicity of inputting text and receiving voice files makes it user-friendly.
In conclusion, ChatTTS stands out for its ease of use, high-quality speech synthesis, and support for multiple languages. It’s suitable for a range of applications, from LLM assistants to educational content. With plans to open-source the model, ChatTTS is set to make significant contributions to the text-to-speech field.
