🚀 ESPnet2 TTS預訓練模型
本項目提供了一個基於ESPnet2的文本轉語音(TTS)預訓練模型,能夠高效地將文本轉換為自然流暢的語音。該模型使用特定數據集進行訓練,具有良好的語音合成效果。
🚀 快速開始
此模型由kan - bayashi使用espnet中的jsut/tts1配方進行訓練。它從https://zenodo.org/record/5521354/ 導入。
💻 使用示例
基礎用法
📄 許可證
本項目採用CC - BY - 4.0許可證。
📚 詳細文檔
引用ESPnet
如果你在研究中使用了ESPnet,可以按照以下格式進行引用:
@inproceedings{watanabe2018espnet,
author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson {Enrique Yalta Soplin} and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
title={{ESPnet}: End-to-End Speech Processing Toolkit},
year={2018},
booktitle={Proceedings of Interspeech},
pages={2207--2211},
doi={10.21437/Interspeech.2018-1456},
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
}
@inproceedings{hayashi2020espnet,
title={{Espnet-TTS}: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit},
author={Hayashi, Tomoki and Yamamoto, Ryuichi and Inoue, Katsuki and Yoshimura, Takenori and Watanabe, Shinji and Toda, Tomoki and Takeda, Kazuya and Zhang, Yu and Tan, Xu},
booktitle={Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
pages={7654--7658},
year={2020},
organization={IEEE}
}
或者引用arXiv版本:
@misc{watanabe2018espnet,
title={ESPnet: End-to-End Speech Processing Toolkit},
author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Enrique Yalta Soplin and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
year={2018},
eprint={1804.00015},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
📋 信息表格
屬性 |
詳情 |
標籤 |
espnet、audio、text - to - speech |
語言 |
日語 |
數據集 |
jsut |
模型類型 |
ESPnet2 TTS預訓練模型 |
許可證 |
CC - BY - 4.0 |