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conf
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local
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README.md
README.md
 
 
asr.sh
asr.sh
 
 
cmd.sh
cmd.sh
 
 
db.sh
db.sh
 
 
path.sh
path.sh
 
 
pyscripts
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run.sh
run.sh
 
 
scripts
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steps
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utils
utils
 
 

README.md

Notes

In the data preparation stage, we will clone the official repo of GigaSpeech, which provides standard scripts for data preparation, post processing and scoring. For fair comparison across toolkits, here we report the results generated by the official scoring script.

E-Branchformer

Environments

  • date: Sat Jan 21 17:54:14 EST 2023
  • python version: 3.9.15 (main, Nov 24 2022, 14:31:59) [GCC 11.2.0]
  • espnet version: espnet 202211
  • pytorch version: pytorch 1.12.1
  • Git hash: 197dc412eab82e9bab008f00fbcb922c824d8cf2
    • Commit date: Sat Jan 21 13:59:20 2023 -0500

asr_train_asr_e_branchformer_e17_size512_mlp3072_linear1024_layerdrop_raw_en_bpe5000

WER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
decode_asr_asr_model_valid.acc.ave/dev 5715 127790 92.2 5.7 2.0 2.8 10.6 69.9
decode_asr_asr_model_valid.acc.ave/test 19930 390744 91.5 6.4 2.1 2.0 10.5 63.3

Conformer

Environments

  • date: Tue Mar 23 10:03:49 EDT 2021
  • python version: 3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0]
  • espnet version: espnet 0.9.8
  • pytorch version: pytorch 1.7.1
  • Git hash: dcb5bdb2ffa34a9f44255c0b073759c5b9b3f86e
    • Commit date: Sat Mar 13 10:16:16 2021 -0500

asr_train_asr_raw_en_bpe5000

WER

dataset Snt Wrd Corr Sub Del Ins Err S.Err
decode_asr_asr_model_valid.acc.ave/dev 5715 127790 92.0 6.0 2.1 2.9 10.9 70.9
decode_asr_asr_model_valid.acc.ave/test 19930 390744 91.2 6.7 2.1 2.0 10.8 64.2