Introduction to Fish-Speech
Fish-Speech is a state-of-the-art open-source text-to-speech (TTS) system that allows users to generate high-quality speech from text input. It features a variety of capabilities making it versatile for several applications in the field of TTS.
Key Features:
- Zero-shot & Few-shot TTS: Input a short vocal sample (10-30 seconds) to produce natural-sounding TTS output.
- Multilingual & Cross-lingual Support: Supports numerous languages including English, Japanese, Korean, Chinese, French, German, Arabic, and Spanish without the need for language specification.
- No Phoneme Dependency: Strong generalization capabilities enable processing text in any script without relying on phonemes.
- High Accuracy: Achieves a low Character Error Rate (CER) and Word Error Rate (WER) of about 2% on 5-minute English texts.
- Fast Performance: Optimized for speed with a real-time factor of 1:5 on an Nvidia RTX 4060 and 1:15 on an Nvidia RTX 4090.
- User-Friendly WebUI: Easy-to-use interface based on Gradio, compatible with popular browsers.
- GUI Inference: A PyQt-based graphical interface for seamless integration with the API, supporting major OS environments (Linux, Windows, macOS).
- End-to-End Integration: Combines ASR and TTS without requiring additional models.
- Timbre and Emotion Control: Allows adjusting voice characteristics and generating speech with various emotional tones.
Benefits:
- Advanced Technology: Leverages the latest advances in TTS technology and deep learning.
- Open Source: Community-driven enhancement and customization capabilities.
- Scalable Deployment: Easy deployment for different environments, maintaining optimal performance across platforms.
Fish-Speech is ideal for developers and researchers looking for a robust TTS solution that offers flexibility, performance, and modern features for various speech synthesis applications.