ChatTTS
| Property | Value |
|---|---|
| License | CC-BY-NC-4.0 |
| Library Name | chat_tts |
| Pipeline Tag | text-to-audio |
| Downloads | 7,970 |
| Likes | 1,370 |
What is ChatTTS?
ChatTTS is an advanced text-to-speech synthesis model designed for generating natural-sounding speech from text input. It utilizes PyTorch for efficient processing and supports batch inference capabilities, making it suitable for both research and academic applications.
Implementation Details
The model is implemented using PyTorch and requires specific configurations for optimal performance, including high-precision float32 matrix multiplication and dynamic compilation options. It operates at a 24kHz sample rate and supports advanced features like speaker selection and speech speed adjustment.
- Supports batch processing of multiple text inputs
- Configurable compilation settings for performance optimization
- High-precision audio output at 24kHz
- Customizable speech parameters
Core Capabilities
- Text-to-speech conversion with natural-sounding output
- Batch processing support for multiple text inputs
- Adjustable speech parameters including speed and speaker selection
- Integration of laughter and emotional elements
- Easy-to-use Python interface
Frequently Asked Questions
Q: What makes this model unique?
ChatTTS stands out for its combination of high-quality speech synthesis with batch processing capabilities and customizable parameters, making it particularly suitable for academic and research applications.
Q: What are the recommended use cases?
The model is primarily designed for academic and research purposes, specifically in text-to-speech applications where natural-sounding voice generation is required. It's particularly useful in scenarios requiring batch processing of multiple text inputs.
