ChatTTS

What is ChatTTS?

ChatTTS is a cutting-edge voice generation model designed specifically for conversational scenarios. It excels in creating natural-sounding speech for dialogue tasks, making it perfect for large language model assistants and engaging audio/video introductions. With support for both Chinese and English, ChatTTS is trained on a whopping 100,000 hours of data, ensuring high-quality and lifelike speech synthesis.

What are the features of ChatTTS?

• Multi-language Support: ChatTTS can generate speech in both English and Chinese, breaking down language barriers.
• Large Data Training: Trained on 100,000 hours of diverse data, it produces high-quality, natural-sounding voice synthesis.
• Dialog Task Compatibility: Perfect for handling conversational tasks, enhancing user interaction in various applications.
• Open Source Plans: The team plans to release a base model trained on 40,000 hours of data for community use.
• Control and Security: Features like watermarks and integration with LLMs ensure safe and reliable usage.
• Ease of Use: Simply input text, and ChatTTS generates corresponding voice files effortlessly.

What are the use cases of ChatTTS?

• Conversational AI: Ideal for dialogue tasks in virtual assistants.
• Video Introductions: Create engaging audio for video content.
• Educational Content: Generate speech for training materials and e-learning.
• Voice Cloning: Customize voices for specific applications.

How to use ChatTTS?

1. Download from GitHub: Clone the repository using git clone https://github.com/2noise/ChatTTS.
2. Install Dependencies: Use pip install torch ChatTTS to install necessary packages.
3. Import Required Libraries: Import torch, ChatTTS, and Audio from IPython.display.
4. Initialize ChatTTS: Create an instance and load pre-trained models.
5. Prepare Your Text: Define the text you want to convert to speech.
6. Generate Speech: Use the infer method to create audio from text.
7. Play the Audio: Use the Audio class to play the generated audio.