This is a reformat of the official Fish Speech v1.5 weights to work with fish-speech.rs.

I've made the following changes, for better compatibility with Candle.rs and the HuggingFace ecosystem:

  • DualAR transformer weights converted to .safetensors for safety and easier loading
  • Tokenizer ported from Tiktoken format and custom wrapper to HuggingFace Tokenizers for easier downstream use
  • VQGAN is unchanged from v1.4, so copying the weight-norm merged safetensors and FireflyGAN config from my previous conversion

NOTE:

  • Please respect the original license and do not use this model for commercial purposes. You can support Fish Audio by using the official API at fish.audio.
  • These weights WILL NOT work with the official Fish Speech inference code!

ORIGINAL README: Fish Speech V1.5

Fish Speech V1.5 is a leading text-to-speech (TTS) model trained on more than 1 million hours of audio data in multiple languages.

Supported languages:

  • English (en) >300k hours
  • Chinese (zh) >300k hours
  • Japanese (ja) >100k hours
  • German (de) ~20k hours
  • French (fr) ~20k hours
  • Spanish (es) ~20k hours
  • Korean (ko) ~20k hours
  • Arabic (ar) ~20k hours
  • Russian (ru) ~20k hours
  • Dutch (nl) <10k hours
  • Italian (it) <10k hours
  • Polish (pl) <10k hours
  • Portuguese (pt) <10k hours

Please refer to Fish Speech Github for more info.
Demo available at Fish Audio.

Citation

If you found this repository useful, please consider citing this work:

@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}, 
}

License

This model is permissively licensed under the BY-CC-NC-SA-4.0 license.

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