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Fish Speech

**English** | [简体中文](docs/README.zh.md) | [Portuguese](docs/README.pt-BR.md) | [日本語](docs/README.ja.md) | [한국어](docs/README.ko.md)

This codebase and all models are released under CC-BY-NC-SA-4.0 License. Please refer to LICENSE for more details.

Features

Zero-shot & Few-shot TTS: Input a 10 to 30-second vocal sample to generate high-quality TTS output. For detailed guidelines, see Voice Cloning Best Practices.
Multilingual & Cross-lingual Support: Simply copy and paste multilingual text into the input box—no need to worry about the language. Currently supports English, Japanese, Korean, Chinese, French, German, Arabic, and Spanish.
No Phoneme Dependency: The model has strong generalization capabilities and does not rely on phonemes for TTS. It can handle text in any language script.
Highly Accurate: Achieves a low CER (Character Error Rate) and WER (Word Error Rate) of around 2% for 5-minute English texts.
Fast: With fish-tech acceleration, the real-time factor is approximately 1:5 on an Nvidia RTX 4060 laptop and 1:15 on an Nvidia RTX 4090.
WebUI Inference: Features an easy-to-use, Gradio-based web UI compatible with Chrome, Firefox, Edge, and other browsers.
GUI Inference: Offers a PyQt6 graphical interface that works seamlessly with the API server. Supports Linux, Windows, and macOS. See GUI.
Deploy-Friendly: Easily set up an inference server with native support for Linux, Windows and MacOS, minimizing speed loss.