readme: ---
  tags:
  - espnet
  - audio
  - speaker-diarization
  language: en
  datasets:
  - mini_librispeech
  license: cc-by-4.0
  ---
  ## ESPnet2 DIAR pretrained model 
  ### `Yushi Ueda/mini_librispeech_diar_train_diar_raw_max_epoch20_valid.acc.best`
  ♻️ Imported from https://zenodo.org/record/5264020/
  
  This model was trained by Yushi Ueda using mini_librispeech/diar1 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}
  }
  ```