espnet / kan-bayashi_ljspeech_vits

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Model's Last Updated: September 20 2026
text-to-speech

Introduction of kan-bayashi_ljspeech_vits

Model Details of kan-bayashi_ljspeech_vits

ESPnet2 TTS pretrained model
kan-bayashi/ljspeech_vits

♻️ Imported from https://zenodo.org/record/5443814/

This model was trained by kan-bayashi using ljspeech/tts1 recipe in espnet .

Demo: How to use in ESPnet2
# coming soon
Citing ESPnet
@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}
}

or arXiv:

@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}
}

Runs of espnet kan-bayashi_ljspeech_vits on huggingface.co

101
Total runs
0
24-hour runs
5
3-day runs
6
7-day runs
56
30-day runs

More Information About kan-bayashi_ljspeech_vits huggingface.co Model

More kan-bayashi_ljspeech_vits license Visit here:

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kan-bayashi_ljspeech_vits huggingface.co

kan-bayashi_ljspeech_vits huggingface.co is an AI model on huggingface.co that provides kan-bayashi_ljspeech_vits's model effect (), which can be used instantly with this espnet kan-bayashi_ljspeech_vits model. huggingface.co supports a free trial of the kan-bayashi_ljspeech_vits model, and also provides paid use of the kan-bayashi_ljspeech_vits. Support call kan-bayashi_ljspeech_vits model through api, including Node.js, Python, http.

kan-bayashi_ljspeech_vits huggingface.co Url

https://huggingface.co/espnet/kan-bayashi_ljspeech_vits

espnet kan-bayashi_ljspeech_vits online free

kan-bayashi_ljspeech_vits huggingface.co is an online trial and call api platform, which integrates kan-bayashi_ljspeech_vits's modeling effects, including api services, and provides a free online trial of kan-bayashi_ljspeech_vits, you can try kan-bayashi_ljspeech_vits online for free by clicking the link below.

espnet kan-bayashi_ljspeech_vits online free url in huggingface.co:

https://huggingface.co/espnet/kan-bayashi_ljspeech_vits

kan-bayashi_ljspeech_vits install

kan-bayashi_ljspeech_vits is an open source model from GitHub that offers a free installation service, and any user can find kan-bayashi_ljspeech_vits on GitHub to install. At the same time, huggingface.co provides the effect of kan-bayashi_ljspeech_vits install, users can directly use kan-bayashi_ljspeech_vits installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

kan-bayashi_ljspeech_vits install url in huggingface.co:

https://huggingface.co/espnet/kan-bayashi_ljspeech_vits

Url of kan-bayashi_ljspeech_vits

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