readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: kr
  datasets:
  - ksponspeech
  license: cc-by-4.0
  ---
  ## ESPnet2 ASR pretrained model 
  ### `Yushi Ueda/ksponspeech_asr_train_asr_conformer8_n_fft512_hop_length256_raw_kr_bpe2309_valid.acc.best`
  ♻️ Imported from https://zenodo.org/record/5154341/
  
  This model was trained by Yushi Ueda using ksponspeech/asr1 recipe in [espnet](https://github.com/espnet/espnet/).
  ### Demo: How to use in ESPnet2
  ```python
  # coming soon
  ```
  ### 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 {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}
  }
  
  ```
  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 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}
  }
  ```