fishaudio/fish-speech
Fork: 1027 Star: 13741 (更新于 2024-11-03 01:20:46)
license: NOASSERTION
Language: Python .
Brand new TTS solution
最后发布版本: v1.4.2 ( 2024-10-25 15:15:52)
This codebase and all models are released under CC-BY-NC-SA-4.0 License. Please refer to LICENSE for more details.
Features
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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.
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
Quick Start for Local Inference
Videos
V1.4 Demo Video: Youtube
Documents
Samples (2024/10/02 V1.4)
Credits
Sponsor
最近版本更新:(数据更新于 2024-11-06 02:56:30)
2024-10-25 15:15:52 v1.4.2
2024-09-15 17:49:39 v1.4.1
2024-09-12 22:38:58 v1.4.0
2024-09-10 08:24:46 v1.2.1
2024-07-19 00:41:19 v1.2
2024-07-02 12:55:09 v1.1.2
2024-06-09 00:58:08 v1.1.1
2024-05-11 22:20:11 v1.1.0
2024-04-30 14:49:57 v1.0.0
2023-12-25 19:55:47 v0.2.0
主题(topics):
llama, transformer, tts, valle, vits, vqgan, vqvae
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