We assume no responsibility for any illegal use of the codebase. Please refer to the local laws regarding DMCA (Digital Millennium Copyright Act) and other relevant laws in your area.
**License:** This codebase is released under Apache 2.0 license and all models are released under the CC-BY-NC-SA-4.0 license.
We are excited to announce that we have rebranded to **OpenAudio** - introducing a brand new series of advanced Text-to-Speech models that builds upon the foundation of Fish-Speech with significant improvements and new capabilities.
You can also use Ha,ha,ha to control, there's many other cases waiting to be explored by yourself.
### **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** | 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:** 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 (MacOS comming soon), 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.
## **Media & Demos**
#### 🚧 Coming Soon
Video demonstrations and tutorials are currently in development.
## **Documentation**
### Quick Start
- [Build Environment](en/install.md) - Set up your development environment
- [Inference Guide](en/inference.md) - Run the model and generate speech
