espnet / kan-bayashi_ljspeech_conformer_fastspeech2

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7-day runs: -1
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Model's Last Updated: September 20 2026
text-to-speech

Introduction of kan-bayashi_ljspeech_conformer_fastspeech2

Model Details of kan-bayashi_ljspeech_conformer_fastspeech2

Example ESPnet2 TTS model
kan-bayashi/ljspeech_conformer_fastspeech2

♻️ Imported from https://zenodo.org/record/4036268/

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_conformer_fastspeech2 on huggingface.co

17
Total runs
0
24-hour runs
-1
3-day runs
-1
7-day runs
5
30-day runs

More Information About kan-bayashi_ljspeech_conformer_fastspeech2 huggingface.co Model

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kan-bayashi_ljspeech_conformer_fastspeech2 huggingface.co

kan-bayashi_ljspeech_conformer_fastspeech2 huggingface.co is an AI model on huggingface.co that provides kan-bayashi_ljspeech_conformer_fastspeech2's model effect (), which can be used instantly with this espnet kan-bayashi_ljspeech_conformer_fastspeech2 model. huggingface.co supports a free trial of the kan-bayashi_ljspeech_conformer_fastspeech2 model, and also provides paid use of the kan-bayashi_ljspeech_conformer_fastspeech2. Support call kan-bayashi_ljspeech_conformer_fastspeech2 model through api, including Node.js, Python, http.

kan-bayashi_ljspeech_conformer_fastspeech2 huggingface.co Url

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espnet kan-bayashi_ljspeech_conformer_fastspeech2 online free

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kan-bayashi_ljspeech_conformer_fastspeech2 install

kan-bayashi_ljspeech_conformer_fastspeech2 is an open source model from GitHub that offers a free installation service, and any user can find kan-bayashi_ljspeech_conformer_fastspeech2 on GitHub to install. At the same time, huggingface.co provides the effect of kan-bayashi_ljspeech_conformer_fastspeech2 install, users can directly use kan-bayashi_ljspeech_conformer_fastspeech2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Url of kan-bayashi_ljspeech_conformer_fastspeech2

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