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ouktlab/
espnet_asr-ja-mc-stream_am-transformer-robustcorpus10_lm-transformer-corpus10-bccwj-wiki40b

Name: espnet_asr-ja-mc-stream_am-transformer-robustcorpus10_lm-transformer-corpus10-bccwj-wiki40b
Availability: InStock

espnet

1804.00015

cc-by-nc-4.0

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ESPnet2 ASR model

`ouktlab/espnet_asr-ja-mc-stream_am-transformer-robustcorpus10_lm-transformer-corpus10-bccwj-wiki40b`

This is a Japanese ASR model for streaming character (Kanji, Katakana and Hiragana) recognition.

This model was trained using CSJ recipe in ESPnet.
The details and examples are shown at our github repository.

Citing ESPnet

BibTex

@inproceedings{watanabe2018espnet,
  author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta 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}
}

or arXiv:

bibtex

@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 Yalta 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}
}

Citing this ASR model

@inproceedings {rtakeda2025:apsipa, author={Ryu Takeda and Kazunori Komatani}, title={Reducing Orthographic Dependency on Paired Data by Probabilistic Integration via Syllabogram for Japanese Dialogue Speech Recognition}, year={2025}, booktitle={Proceedings of Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) (to appear)}, }