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ESPnet2 ASR model

espnet/yoshiki_wsj_whisper_medium_finetuning

This model was trained by Yoshiki using wsj recipe in espnet.

Demo: How to use in ESPnet2

Follow the ESPnet installation instructions if you haven't done that already.

cd espnet
git checkout fe00740b80cd26fad7c550cd9e975609deb664db
pip install -e .
cd egs2/wsj/asr1
./run.sh --skip_data_prep false --skip_train true --download_model espnet/yoshiki_wsj_whisper_medium_finetuning

RESULTS

Environments

  • date: Fri Jul 21 12:47:17 JST 2023
  • python version: 3.10.10 (main, Mar 21 2023, 18:45:11) [GCC 11.2.0]
  • espnet version: espnet 202304
  • pytorch version: pytorch 1.13.1
  • Git hash: d7172fcb7181ffdcca9c0061400254b63e37bf21
    • Commit date: Sat Jul 15 15:01:30 2023 +0900

/scratch/espnet-hackathon/egs2/wsj/asr1/exp/asr_train_asr_whisper_full_warmup3000_raw_en_whisper_multilingual

WER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
decode_asr_whisper_noctc_greedy_asr_model_valid.acc.ave/test_eval92 333 5564 98.5 1.4 0.1 0.2 1.7 19.5

CER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
decode_asr_whisper_noctc_greedy_asr_model_valid.acc.ave/test_eval92 333 32096 99.6 0.2 0.2 0.2 0.6 19.5

TER

dataset Snt Wrd Corr Sub Del Ins Err S.Err

/scratch/espnet-hackathon/egs2/wsj/asr1/exp/asr_train_asr_whisper_full_warmup3000_raw_en_whisper_multilingual/decode_asr_whisper_noctc_greedy_asr_model_valid.acc.ave

WER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
org/test_dev93 503 8132 97.7 2.0 0.4 0.3 2.6 24.9

CER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
org/test_dev93 503 46683 99.4 0.3 0.3 0.2 0.8 24.9

Citing ESPnet

@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:

@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}
}
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