readme: ---
  tags:
  - espnet
  - audio
  - speech-recognition
  language: en
  datasets:
  - google/fleurs
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model
  
  ### `espnet/wanchichen_fleurs_english_asr_wav2vec_frontend`
  This model was trained by William Chen using the fleurs recipe in [espnet](https://github.com/espnet/espnet/).
  ### Demo: How to use in ESPnet2
  ```bash
  cd espnet
  pip install -e .
  cd egs2/fleurs/asr1
  ./run.sh
  ```
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Sun Aug 14 14:52:04 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_wav2vec_960h_transformer_raw_en_us_bpe300_sp
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.acc.best/test_all|647|14344|67.1|29.4|3.5|4.6|37.5|99.8|
  |decode_asr_asr_model_valid.acc.best/dev_all|388|7935|66.8|29.7|3.6|5.0|38.2| 99.0|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.acc.best/test_all|647|83954|88.6|5.4|6.0|4.8|16.2|99.8|
  |decode_asr_asr_model_valid.acc.best/dev_all|388|47051|88.1|6.0|5.9|4.4|16.3|99.0|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.acc.best/test_all|647|39965|7.7|14.9|7.4|4.1|26.4|99.8|
  |decode_asr_asr_model_valid.acc.best/dev_all|388|22491|77.3|15.2|7.5|3.8|26.5|99.0|