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ESPnet2 ASR model

espnet/wanchichen_fleurs_multilingual_asr_hubert_frontend

This model was trained by William Chen using the fleurs recipe in espnet.

Demo: How to use in ESPnet2

cd espnet
pip install -e .
cd egs2/fleurs/asr1
./run.sh

RESULTS

Environments

  • date: Sun Aug 21 15:18:30 EDT 2022
  • python version: 3.8.6 (default, Dec 17 2020, 16:57:01) [GCC 10.2.0]
  • espnet version: espnet 202205
  • pytorch version: pytorch 1.8.1+cu102
  • Git hash: 45e8cb9173a072f85ee7a7ccbcae06af7c5c484a
    • Commit date: Wed Jun 1 14:21:14 2022 +0900

asr_train_asr_hubert_raw_all_raw_all_bpe6500_sp

WER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
decode_asr_asr_model_valid.acc.best/test_all 77809 1669969 54.2 38.1 7.8 4.0 49.9 99.7
decode_asr_asr_model_valid.acc.best/dev_all 31622 610500 53.4 38.7 7.9 3.5 50.1 99.5

CER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
decode_asr_asr_model_valid.acc.best/test_all 77809 10876592 85.1 7.4 7.5 3.2 18.0 99.7
decode_asr_asr_model_valid.acc.best/dev_all 31622 3988181 84.7 7.7 7.7 2.8 18.1 99.5

TER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
decode_asr_asr_model_valid.acc.best/test_all 77809 9622352 82.8 9.2 8.0 3.4 20.6 99.7
decode_asr_asr_model_valid.acc.best/dev_all 31622 3547834 82.4 9.4 8.2 3.0 20.6 99.5
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Dataset used to train espnet/wanchichen_fleurs_multilingual_asr_hubert_frontend