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RESULTS

Environments

  • date: Wed Oct 20 00:00:46 JST 2021
  • python version: 3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]
  • espnet version: espnet 0.10.4a1
  • pytorch version: pytorch 1.9.0
  • Git hash: b8df4c928e132acff78d196988bdb68a66987952
    • Commit date: Tue Oct 19 07:48:11 2021 -0400

asr_train_raw_en_bpe30

WER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
inference_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.best/test 130 773 4.0 22.3 73.7 0.1 96.1 100.0
inference_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.best/train_dev 100 591 2.7 21.8 75.5 0.0 97.3 100.0

CER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
inference_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.best/test 130 2565 17.2 16.4 66.4 1.0 83.8 100.0
inference_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.best/train_dev 100 1915 15.5 16.4 68.1 0.9 85.5 100.0

TER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
inference_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.best/test 130 2695 21.1 15.6 63.3 0.9 79.9 100.0
inference_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.best/train_dev 100 2015 19.4 15.6 65.0 0.9 81.5 100.0