Fish Agent V0.1 3B
Fish Agent V0.1 3B is a groundbreaking Voice-to-Voice model capable of capturing and generating environmental audio information with unprecedented accuracy. What sets it apart is its semantic-token-free architecture, eliminating the need for traditional semantic encoders/decoders like Whisper and CosyVoice.
Additionally, it stands as a state-of-the-art text-to-speech (TTS) model, trained on an extensive dataset of 700,000 hours of multilingual audio content.
This model is a continue-pretrained version of Qwen-2.5-3B-Instruct for 200B voice & text tokens.
Supported Languages
The model supports the following languages with their respective training data sizes:
- English (en): ~300,000 hours
- Chinese (zh): ~300,000 hours
- German (de): ~20,000 hours
- Japanese (ja): ~20,000 hours
- French (fr): ~20,000 hours
- Spanish (es): ~20,000 hours
- Korean (ko): ~20,000 hours
- Arabic (ar): ~20,000 hours
For detailed information and implementation guidelines, please visit our Fish Speech GitHub repository.
Citation
If you find this repository helpful in your work, please consider citing:
@misc{fish-agent-0.1,
author = {Shijia Liao and Tianyu Li and Rcell and others},
title = {Fish Agent V0.1 3B},
year = {2024},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/fishaudio/fish-speech}}
}
License
This model and its associated code are released under the BY-CC-NC-SA-4.0 license, allowing for non-commercial use with appropriate attribution.
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