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db.sh
db.sh
 
 
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README.md

How2 corpus

HOW TO GET AND USE HOW2:

  1. Go to https://github.com/srvk/how2-dataset and follow instructions. For ASR, the following parts should be selected when filling form:
   (audio) fbank+pitch features in Kaldi scp/ark format
   (en) English text

First part (feats), contains directory 'fbank_pitch_181516'. Second part (text) contains 'how2-300h-v1' with following directories:

   how2-300h-v1
   |_ data/
      |_ val
      |_ train
      |_ dev5
   |_ features/
  1. Set up 'HOW2_FEATS' and 'HOW_TEXT' in db.sh to where you put 'how-300h-v1' and 'fbank_pitch_181516' directories.

RESULTS:

asr_train_rnn_extracted_bpe

WER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
decode_dev5decode_asr_model_valid.acc.best 2305 41013 87.1 9.7 3.2 3.1 15.9 73.9
decode_test_set_iwslt2019decode_asr_model_valid.acc.best 2497 45040 87.0 9.7 3.2 3.2 16.1 75.7

CER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
decode_dev5decode_asr_model_valid.acc.best 2305 203929 94.0 2.6 3.5 3.0 9.0 73.9
decode_test_set_iwslt2019decode_asr_model_valid.acc.best 2497 224550 93.8 2.7 3.5 3.1 9.3 75.7

TER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
decode_dev5decode_asr_model_valid.acc.best 2305 60721 88.0 7.6 4.4 3.2 15.3 73.9
decode_test_set_iwslt2019decode_asr_model_valid.acc.best 2497 66657 87.2 7.9 4.9 3.2 16.0 75.7