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://pd.qq.com/s/bwxia254o"> <img alt="QQ Channel" src="https://img.shields.io/badge/QQ-blue?logo=tencentqq"> </a> </div> <div align="center"> <a target="_blank" href="https://huggingface.co/spaces/TTS-AGI/TTS-Arena-V2"> <img alt="TTS-Arena2 Score" src="https://img.shields.io/badge/TTS_Arena2-Rank_%231-gold?style=flat-square&logo=trophy&logoColor=white"> </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://huggingface.co/fishaudio/openaudio-s1-mini"> <img alt="HuggingFace Model" src="https://img.shields.io/badge/🤗%20-models-orange"/> </a> </div> > [!IMPORTANT] > **License Notice** > 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. > [!WARNING] > **Legal 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. --- ## 🎉 Announcement We are excited to announce that we have rebranded to **OpenAudio** — introducing a revolutionary new series of advanced Text-to-Speech models that builds upon the foundation of Fish-Speech. We are proud to release **OpenAudio-S1** as the first model in this series, delivering significant improvements in quality, performance, and capabilities. OpenAudio-S1 comes in two versions: **OpenAudio-S1** and **OpenAudio-S1-mini**. Both models are now available on [Fish Audio Playground](https://fish.audio) (for **OpenAudio-S1**) and [Hugging Face](https://huggingface.co/fishaudio/openaudio-s1-mini) (for **OpenAudio-S1-mini**). Visit the [OpenAudio website](https://openaudio.com/blogs/s1) for blog & tech report. ## Highlights ✨ ### **Excellent TTS quality** We use Seed TTS Eval Metrics to evaluate the model performance, and the results show that OpenAudio S1 achieves **0.008 WER** and **0.004 CER** on English text, which is significantly better than previous models. (English, auto eval, based on OpenAI gpt-4o-transcribe, speaker distance using Revai/pyannote-wespeaker-voxceleb-resnet34-LM) | Model | Word Error Rate (WER) | Character Error Rate (CER) | Speaker Distance | |-------|----------------------|---------------------------|------------------| | **S1** | **0.008** | **0.004** | **0.332** | | **S1-mini** | **0.011** | **0.005** | **0.380** | ### **Best Model in TTS-Arena2** 🏆 OpenAudio S1 has achieved the **#1 ranking** on [TTS-Arena2](https://arena.speechcolab.org/), the benchmark for text-to-speech evaluation: <div align="center"> <img src="docs/assets/Elo.jpg" alt="TTS-Arena2 Ranking" style="width: 75%;" /> </div> ### **Speech Control** OpenAudio S1 **supports a variety of emotional, tone, and special markers** to enhance speech synthesis: - **Basic emotions**: ``` (angry) (sad) (excited) (surprised) (satisfied) (delighted) (scared) (worried) (upset) (nervous) (frustrated) (depressed) (empathetic) (embarrassed) (disgusted) (moved) (proud) (relaxed) (grateful) (confident) (interested) (curious) (confused) (joyful) ``` - **Advanced emotions**: ``` (disdainful) (unhappy) (anxious) (hysterical) (indifferent) (impatient) (guilty) (scornful) (panicked) (furious) (reluctant) (keen) (disapproving) (negative) (denying) (astonished) (serious) (sarcastic) (conciliative) (comforting) (sincere) (sneering) (hesitating) (yielding) (painful) (awkward) (amused) ``` - **Tone markers**: ``` (in a hurry tone) (shouting) (screaming) (whispering) (soft tone) ``` - **Special audio effects**: ``` (laughing) (chuckling) (sobbing) (crying loudly) (sighing) (panting) (groaning) (crowd laughing) (background laughter) (audience laughing) ``` You can also use Ha,ha,ha to control, there's many other cases waiting to be explored by yourself. (Support for English, Chinese and Japanese now, and more languages is coming soon!) ### **Two Type of Models** | Model | Size | Availability | Features | |-------|------|--------------|----------| | **S1** | 4B parameters | Avaliable on [fish.audio](fish.audio) | Full-featured flagship model | | **S1-mini** | 0.5B parameters | Avaliable on huggingface [hf space](https://huggingface.co/spaces/fishaudio/openaudio-s1-mini) | Distilled version with core capabilities | Both S1 and S1-mini incorporate online Reinforcement Learning from Human Feedback (RLHF). ## **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) of around 0.4% and WER (Word Error Rate) of around 0.8% for Seed-TTS Eval. 5. **Fast:** Accelerated by torch compile, the real-time factor is approximately 1:7 on an Nvidia RTX 4090 GPU. 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 (MacOS comming soon), minimizing speed loss. ## **Media & Demos** <div align="center"> ### **Social Media** <a href="https://x.com/FishAudio/status/1929915992299450398" target="_blank"> <img src="https://img.shields.io/badge/𝕏-Latest_Demo-black?style=for-the-badge&logo=x&logoColor=white" alt="Latest Demo on X" /> </a> ### **Interactive Demos** <a href="https://fish.audio" target="_blank"> <img src="https://img.shields.io/badge/Fish_Audio-Try_OpenAudio_S1-blue?style=for-the-badge" alt="Try OpenAudio S1" /> </a> <a href="https://huggingface.co/spaces/fishaudio/openaudio-s1-mini" target="_blank"> <img src="https://img.shields.io/badge/Hugging_Face-Try_S1_Mini-yellow?style=for-the-badge" alt="Try S1 Mini" /> </a> ### **Video Showcases** <a href="https://www.youtube.com/watch?v=SYuPvd7m06A" target="_blank"> <img src="docs/assets/Thumbnail.jpg" alt="OpenAudio S1 Video" style="width: 50%;" /> </a> ### **Audio Samples** <div style="margin: 20px 0;"> <em> High-quality audio samples will be available soon, demonstrating our multilingual TTS capabilities across different languages and emotions.</em> </div> </div> --- ## Documents - [Build Envrionment](docs/en/install.md) - [Inference](docs/en/inference.md) ## 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) - [Qwen3](https://github.com/QwenLM/Qwen3) ## 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}, } ``` ", 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"