base on SOTA Open Source TTS <div align="center"> <h1>Fish Speech</h1> **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) <br> <a href="https://www.producthunt.com/posts/fish-speech-1-4?embed=true&utm_source=badge-featured&utm_medium=badge&utm_souce=badge-fish&#0045;speech&#0045;1&#0045;4" target="_blank"> <img src="https://api.producthunt.com/widgets/embed-image/v1/featured.svg?post_id=488440&theme=light" alt="Fish&#0032;Speech&#0032;1&#0046;4 - Open&#0045;Source&#0032;Multilingual&#0032;Text&#0045;to&#0045;Speech&#0032;with&#0032;Voice&#0032;Cloning | Product Hunt" style="width: 250px; height: 54px;" width="250" height="54" /> </a> <a href="https://trendshift.io/repositories/7014" target="_blank"> <img src="https://trendshift.io/api/badge/repositories/7014" alt="fishaudio%2Ffish-speech | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/> </a> <br> </div> <br> <div align="center"> <img src="https://count.getloli.com/get/@fish-speech?theme=asoul" /><br> </div> <br> <div align="center"> <a target="_blank" href="https://discord.gg/Es5qTB9BcN"> <img alt="Discord" src="https://img.shields.io/discord/1214047546020728892?color=%23738ADB&label=Discord&logo=discord&logoColor=white&style=flat-square"/> </a> <a target="_blank" href="https://hub.docker.com/r/fishaudio/fish-speech"> <img alt="Docker" src="https://img.shields.io/docker/pulls/fishaudio/fish-speech?style=flat-square&logo=docker"/> </a> <a target="_blank" href="https://huggingface.co/spaces/fishaudio/fish-speech-1"> <img alt="Huggingface" src="https://img.shields.io/badge/🤗%20-space%20demo-yellow"/> </a> <a target="_blank" href="https://pd.qq.com/s/bwxia254o"> <img alt="QQ Channel" src="https://img.shields.io/badge/QQ-blue?logo=tencentqq"> </a> </div> This codebase is released under Apache License and all model weights are released under CC-BY-NC-SA-4.0 License. Please refer to [LICENSE](LICENSE) for more details. --- ## Fish Agent We are very excited to announce that we have made our self-research agent demo open source, you can now try our agent demo online at [demo](https://fish.audio/demo/live) for instant English chat and English and Chinese chat locally by following the [docs](https://speech.fish.audio/start_agent/). You should mention that the content is released under a **CC BY-NC-SA 4.0 licence**. And the demo is an early alpha test version, the inference speed needs to be optimised, and there are a lot of bugs waiting to be fixed. If you've found a bug or want to fix it, we'd be very happy to receive an issue or a pull request. ## Features ### Fish Speech 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. ### Fish Agent 1. **Completely End to End:** Automatically integrates ASR and TTS parts, no need to plug-in other models, i.e., true end-to-end, not three-stage (ASR+LLM+TTS). 2. **Timbre Control:** Can use reference audio to control the speech timbre. 3. **Emotional:** The model can generate speech with strong emotion. ## 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) [Fish Agent](https://fish.audio/demo/live) ## 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) ## Tech Report (V1.4) ```bibtex @misc{fish-speech-v1.4, title={Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis}, author={Shijia Liao and Yuxuan Wang and Tianyu Li and Yifan Cheng and Ruoyi Zhang and Rongzhi Zhou and Yijin Xing}, year={2024}, eprint={2411.01156}, archivePrefix={arXiv}, primaryClass={cs.SD}, url={https://arxiv.org/abs/2411.01156}, } ``` ## Sponsor <div> <a href="https://6block.com/"> <img src="https://avatars.githubusercontent.com/u/60573493" width="100" height="100" alt="6Block Avatar"/> </a> <br> <a href="https://6block.com/">Data Processing sponsor by 6Block</a> </div> <div> <a href="https://www.lepton.ai/"> <img src="https://www.lepton.ai/favicons/apple-touch-icon.png" width="100" height="100" alt="Lepton Avatar"/> </a> <br> <a href="https://www.lepton.ai/">Fish Audio is served on Lepton.AI</a> </div> ", Assign "at most 3 tags" to the expected json: {"id":"7014","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"