readme: ---
  tags:
  - espnet
  - audio
  - speech-recognition
  language: en
  datasets:
  - google/fleurs
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model
  
  ### `espnet/wanchichen_fleurs_multilingual_asr_hubert_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 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|