--- license: apache-2.0 --- # BreezyVoice 🚀 **Try out our interactive [UI playground](https://huggingface.co/spaces/Splend1dchan/BreezyVoice-Playground) now!** 🚀 Or visit one of these resources: - [Playground (CLI Inference)](https://www.kaggle.com/code/a24998667/breezyvoice-playground) - [Model](https://huggingface.co/MediaTek-Research/BreezyVoice/tree/main) - [Paper](https://arxiv.org/abs/2501.17790) **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](https://github.com/FunAudioLLM/CosyVoice) Flowchart BreezyVoice outperforms competing commercial services in terms of naturalness. comparisons BreezyVoice excels at code-switching scenarios. | Code-Switching Term Category | **BreezyVoice** | Z | Y | U | M | |-------------|--------------|---|---|---|---| | **General Words** | **8** | 5 | **8** | **8** | 7 | | **Entities**| **9** | 6 | 4 | 7 | 4 | | **Abbreviations** | **9** | 8 | 6 | 6 | 7 | | **Toponyms**| 3 | 3 | **7** | 3 | 4 | | **Full Sentences**| 7 | 7 | **8** | 5 | 3 | ## How to Run **Running from [GitHub](https://github.com/mtkresearch/BreezyVoice) 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](https://github.com/mtkresearch/BreezyVoice), 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} } ```