This codebase and all models are released under CC-BY-NC-SA-4.0 License. Please refer to LICENSE for more details.
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 for instant English chat and English and Chinese chat locally by following the docs.
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.
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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.
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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.
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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.
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Highly Accurate: Achieves a low CER (Character Error Rate) and WER (Word Error Rate) of around 2% for 5-minute English texts.
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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.
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WebUI Inference: Features an easy-to-use, Gradio-based web UI compatible with Chrome, Firefox, Edge, and other browsers.
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GUI Inference: Offers a PyQt6 graphical interface that works seamlessly with the API server. Supports Linux, Windows, and macOS. See GUI.
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Deploy-Friendly: Easily set up an inference server with native support for Linux, Windows and MacOS, minimizing speed loss.
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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).
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Timbre Control: Can use reference audio to control the speech timbre.
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Emotional: The model can generate speech with strong emotion.
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.
V1.4 Demo Video: Youtube
@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},
}
