# Fish Speech **Repository Path**: AI-LargeModel/fish-speech ## Basic Information - **Project Name**: Fish Speech - **Description**: Fish Speech,由Fish Audio提供技术支持,提供业界领先的AI配音服务,集成声音克隆、文字转语音等核心功能。Fish Speech让AI配音更自然,30秒即可完成声音克隆,打造专属文字转语音声音。 - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: agent-inference - **Homepage**: https://github.com/fishaudio/ - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2025-04-28 - **Last Updated**: 2025-04-28 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README

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)
Fish Speech 1.4 - Open-Source Multilingual Text-to-Speech with Voice Cloning | Product Hunt fishaudio%2Ffish-speech | Trendshift



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This codebase and all models are released under CC-BY-NC-SA-4.0 License. Please refer to [LICENSE](LICENSE) for more details. --- ## Features 1. **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](https://docs.fish.audio/text-to-speech/voice-clone-best-practices).** 2. **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. 3. **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. 4. **Highly Accurate:** Achieves a low CER (Character Error Rate) and WER (Word Error Rate) of around 2% for 5-minute English texts. 5. **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. 6. **WebUI Inference:** Features an easy-to-use, Gradio-based web UI compatible with Chrome, Firefox, Edge, and other browsers. 7. **GUI Inference:** Offers a PyQt6 graphical interface that works seamlessly with the API server. Supports Linux, Windows, and macOS. [See GUI](https://github.com/AnyaCoder/fish-speech-gui). 8. **Deploy-Friendly:** Easily set up an inference server with native support for Linux, Windows and MacOS, minimizing speed loss. ## Disclaimer We do not hold any responsibility for any illegal usage of the codebase. Please refer to your local laws about DMCA and other related laws. ## Online Demo [Fish Audio](https://fish.audio) ## Quick Start for Local Inference [inference.ipynb](/inference.ipynb) ## Videos #### V1.4 Demo Video: [Youtube](https://www.youtube.com/watch?v=Ghc8cJdQyKQ) ## Documents - [English](https://speech.fish.audio/) - [中文](https://speech.fish.audio/zh/) - [日本語](https://speech.fish.audio/ja/) - [Portuguese (Brazil)](https://speech.fish.audio/pt/) ## Samples (2024/10/02 V1.4) - [English](https://speech.fish.audio/samples/) - [中文](https://speech.fish.audio/zh/samples/) - [日本語](https://speech.fish.audio/ja/samples/) - [Portuguese (Brazil)](https://speech.fish.audio/pt/samples/) ## Credits - [VITS2 (daniilrobnikov)](https://github.com/daniilrobnikov/vits2) - [Bert-VITS2](https://github.com/fishaudio/Bert-VITS2) - [GPT VITS](https://github.com/innnky/gpt-vits) - [MQTTS](https://github.com/b04901014/MQTTS) - [GPT Fast](https://github.com/pytorch-labs/gpt-fast) - [GPT-SoVITS](https://github.com/RVC-Boss/GPT-SoVITS) ## Sponsor
6Block Avatar
Data Processing sponsor by 6Block
Lepton Avatar
Fish Audio is served on Lepton.AI