readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: es-ES
  license: mit
  ---
  
  # RESULTS
  ## Environments
  - date: `Mon Mar 14 22:28:37 UTC 2022`
  - python version: `3.8.12 | packaged by conda-forge | (default, Jan 30 2022, 23:42:07)  [GCC 9.4.0]`
  - espnet version: `espnet 0.10.7a1`
  - pytorch version: `pytorch 1.10.1`
  - Git hash: `d5322b2dc4844dce1d14268b6848607e2a3dee21`
    - Commit date: `Mon Mar 14 20:21:16 2022 +0000`
  
  ## asr_train_asr_raw_word
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |inference_asr_model_valid.acc.ave_5best/test|49|4134|64.6|23.5|11.8|16.4|51.8|98.0|
  |inference_asr_model_valid.acc.ave_5best/valid|47|4178|66.8|20.2|13.0|19.2|52.5|100.0|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |inference_asr_model_valid.acc.ave_5best/test|49|8690|73.2|18.0|8.8|12.9|39.7|98.0|
  |inference_asr_model_valid.acc.ave_5best/valid|47|8751|74.3|15.7|10.0|15.6|41.3|100.0|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  