ChatTTS: Revolutionizing Text-to-Speech for Conversations
ChatTTS is a remarkable voice generation model designed specifically for conversational scenarios. It is a game-changer in the field of text-to-speech technology.
Core Features:
- Multi-language Support: ChatTTS supports both English and Chinese, breaking language barriers and serving a wide range of users.
- Large Data Training: Trained on approximately 100,000 hours of Chinese and English data, it ensures high-quality and natural-sounding voice synthesis.
- Dialog Task Compatibility: Well-suited for handling dialog tasks assigned to large language models, providing a more natural and fluid interaction experience.
- Open Source Plans: The project team plans to open source a trained base model, promoting further research and development.
- Control and Security: Committed to improving the controllability of the model, adding watermarks, and integrating it with LLMs for enhanced safety and reliability.
- Ease of Use: Simply requires text input to generate corresponding voice files, making it convenient for users with voice synthesis needs.
Basic Usage: To use ChatTTS, follow these simple steps:
- Download the code from GitHub using
git clone https://github.com/2noise/ChatTTS
. - Install the necessary dependencies like torch and ChatTTS using
pip install torch ChatTTS
. - Import the required libraries such as torch, ChatTTS, and Audio from IPython.display.
- Initialize the ChatTTS class and load the pre-trained models.
- Define the text you want to convert to speech and use the
infer
method to generate speech. - Play the generated audio using the Audio class from IPython.display.
In conclusion, ChatTTS is a powerful tool that offers a seamless text-to-speech experience for various applications and services.