ChatTTS.com

ChatTTS is a sound generation model designed for dialogue scenarios, especially suitable for dialogue tasks for large language model assistants, as well as dialogue audio and video introduction applications. It supports Chinese and English, and demonstrates high-quality and natural speech synthesis capabilities through training using about 100,000 hours of Chinese and English data.

Demand population:

"ChatTTS targets its audiences, academic researchers, and users of any application or service that needs to convert text into speech. It is especially suitable for conversational applications that require high-quality natural speech synthesis, such as language model assistants, video introductions, education and training content, etc."

Example of usage scenarios:

Dialogue tasks for large language model assistants

Generate voice for dialogue video introduction

Phonetic synthesis of educational and training content

Product Features:

Multilingual support: including English and Chinese to overcome language barriers.

Large-scale data training: Use about 10 million hours of Chinese and English data training to generate high-quality natural speech.

Dialogue Task Compatibility: Suitable for handling dialogue tasks in large language models, providing a natural and smooth interactive experience.

Open Source Plan: Plan to open source training basic models to promote academic research and community development.

Control and Security: Committed to improving the controllability of models, adding watermarks, and integrating them into large language models.

Ease of use: Just text information can generate corresponding voice files, which is simple and easy to use.

Tutorials for use:

Download code from GitHub

Install necessary dependencies such as torch and ChatTTS

Import the required libraries, including Audio for torch, ChatTTS, and IPython.display

Create an instance of ChatTTS class and load a pretrained model

Define the text to be converted to speech

Use the infer method to generate voice from text, set use_decoder=True to enable the decoder

Play generated audio using the Audio class of IPython.display