Kan Bayashi Ljspeech Vits

🚀 ESPnet2 TTS预训练模型

这是一个基于ESPnet的文本转语音（TTS）预训练模型，可用于音频处理相关任务，能有效实现文本到语音的转换。

🚀 快速开始

模型信息

• 模型名称：kan-bayashi/ljspeech_vits
• 导入来源：♻️ 从 https://zenodo.org/record/5443814/ 导入
• 训练者：kan-bayashi
• 训练使用的数据集：ljspeech
• 训练使用的配方：ljspeech/tts1 配方，来自 espnet

许可证

本模型使用的许可证为 CC BY 4.0。

演示：在ESPnet2中的使用方法

# coming soon

引用ESPnet

如果你在研究中使用了ESPnet，可以按照以下格式进行引用：

Interspeech会议论文引用

@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}
}

arXiv预印本引用

@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}
}