MediaTek-Research/BreezyVoice

Model

62

stars

19

commits

3

linked in READMEs

Feb 18, 2025

updated

onnx

README

BreezyVoice

🚀 Try out our interactive UI playground now! 🚀

Or visit one of these resources:

BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation -- Challenges and Insights

BreezyVoice is a voice-cloning text-to-speech system specifically adapted for Taiwanese Mandarin, highlighting phonetic control abilities via auxiliary 注音 (bopomofo) inputs. BreezyVoice is partially derived from CosyVoice

Flowchart

BreezyVoice outperforms competing commercial services in terms of naturalness.

comparisons

BreezyVoice excels at code-switching scenarios.

Code-Switching Term CategoryBreezyVoiceZYUM
General Words85887
Entities96474
Abbreviations98667
Toponyms33734
Full Sentences77853

How to Run

Running from GitHub following instructions automatically downloads the model for you

You can also run the model from a specified local path by cloning the model

git lfs install
git clone https://huggingface.co/MediaTek-Research/BreezyVoice

You can then use the model as outlined in the single_inference.py script on GitHub, specifying the local model path via the model_path parameter.

If you like our work, please cite:

@article{hsu2025breezyvoice,
  title={BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation--Challenges and Insights},
  author={Hsu, Chan-Jan and Lin, Yi-Cheng and Lin, Chia-Chun and Chen, Wei-Chih and Chung, Ho Lam and Li, Chen-An and Chen, Yi-Chang and Yu, Chien-Yu and Lee, Ming-Ji and Chen, Chien-Cheng and others},
  journal={arXiv preprint arXiv:2501.17790},
  year={2025}
}
@article{hsu2025breeze,
  title={The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities},
  author={Hsu, Chan-Jan and Liu, Chia-Sheng and Chen, Meng-Hsi and Chen, Muxi and Hsu, Po-Chun and Chen, Yi-Chang and Shiu, Da-Shan},
  journal={arXiv preprint arXiv:2501.13921},
  year={2025}
}
@article{du2024cosyvoice,
  title={Cosyvoice: A scalable multilingual zero-shot text-to-speech synthesizer based on supervised semantic tokens},
  author={Du, Zhihao and Chen, Qian and Zhang, Shiliang and Hu, Kai and Lu, Heng and Yang, Yexin and Hu, Hangrui and Zheng, Siqi and Gu, Yue and Ma, Ziyang and others},
  journal={arXiv preprint arXiv:2407.05407},
  year={2024}
}

Contributors

Splend1dchan

19 commits

MediaTek-Research/BreezyVoice

Model

62

stars

19

commits

3

linked in READMEs

Feb 18, 2025

updated

onnx

README

BreezyVoice

🚀 Try out our interactive UI playground now! 🚀

Or visit one of these resources:

BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation -- Challenges and Insights

BreezyVoice is a voice-cloning text-to-speech system specifically adapted for Taiwanese Mandarin, highlighting phonetic control abilities via auxiliary 注音 (bopomofo) inputs. BreezyVoice is partially derived from CosyVoice

Flowchart

BreezyVoice outperforms competing commercial services in terms of naturalness.

comparisons

BreezyVoice excels at code-switching scenarios.

Code-Switching Term CategoryBreezyVoiceZYUM
General Words85887
Entities96474
Abbreviations98667
Toponyms33734
Full Sentences77853

How to Run

Running from GitHub following instructions automatically downloads the model for you

You can also run the model from a specified local path by cloning the model

git lfs install
git clone https://huggingface.co/MediaTek-Research/BreezyVoice

You can then use the model as outlined in the single_inference.py script on GitHub, specifying the local model path via the model_path parameter.

If you like our work, please cite:

@article{hsu2025breezyvoice,
  title={BreezyVoice: Adapting TTS for Taiwanese Mandarin with Enhanced Polyphone Disambiguation--Challenges and Insights},
  author={Hsu, Chan-Jan and Lin, Yi-Cheng and Lin, Chia-Chun and Chen, Wei-Chih and Chung, Ho Lam and Li, Chen-An and Chen, Yi-Chang and Yu, Chien-Yu and Lee, Ming-Ji and Chen, Chien-Cheng and others},
  journal={arXiv preprint arXiv:2501.17790},
  year={2025}
}
@article{hsu2025breeze,
  title={The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling Capabilities},
  author={Hsu, Chan-Jan and Liu, Chia-Sheng and Chen, Meng-Hsi and Chen, Muxi and Hsu, Po-Chun and Chen, Yi-Chang and Shiu, Da-Shan},
  journal={arXiv preprint arXiv:2501.13921},
  year={2025}
}
@article{du2024cosyvoice,
  title={Cosyvoice: A scalable multilingual zero-shot text-to-speech synthesizer based on supervised semantic tokens},
  author={Du, Zhihao and Chen, Qian and Zhang, Shiliang and Hu, Kai and Lu, Heng and Yang, Yexin and Hu, Hangrui and Zheng, Siqi and Gu, Yue and Ma, Ziyang and others},
  journal={arXiv preprint arXiv:2407.05407},
  year={2024}
}

Contributors

Splend1dchan

19 commits