readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: en
  datasets:
  - an4
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `Fhrozen/test_an4`
  
  This model was trained by Fhrozen using an4 recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  git checkout b8df4c928e132acff78d196988bdb68a66987952
  pip install -e .
  cd egs2/an4/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model Fhrozen/test_an4
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Wed Oct 20 00:00:46 JST 2021`
  - python version: `3.9.7 (default, Sep 16 2021, 13:09:58)  [GCC 7.5.0]`
  - espnet version: `espnet 0.10.4a1`
  - pytorch version: `pytorch 1.9.0`
  - Git hash: `b8df4c928e132acff78d196988bdb68a66987952`
    - Commit date: `Tue Oct 19 07:48:11 2021 -0400`
  
  ## asr_train_raw_en_bpe30
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |inference_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.best/test|130|773|4.0|22.3|73.7|0.1|96.1|100.0|
  |inference_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.best/train_dev|100|591|2.7|21.8|75.5|0.0|97.3|100.0|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |inference_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.best/test|130|2565|17.2|16.4|66.4|1.0|83.8|100.0|
  |inference_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.best/train_dev|100|1915|15.5|16.4|68.1|0.9|85.5|100.0|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |inference_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.best/test|130|2695|21.1|15.6|63.3|0.9|79.9|100.0|
  |inference_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.best/train_dev|100|2015|19.4|15.6|65.0|0.9|81.5|100.0|
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: null
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_train_raw_en_bpe30
  ngpu: 0
  seed: 0
  num_workers: 1
  num_att_plot: 3
  dist_backend: nccl
  dist_init_method: env://
  dist_world_size: null
  dist_rank: null
  local_rank: null
  dist_master_addr: null
  dist_master_port: null
  dist_launcher: null
  multiprocessing_distributed: false
  unused_parameters: false
  sharded_ddp: false
  cudnn_enabled: true
  cudnn_benchmark: false
  cudnn_deterministic: true
  collect_stats: false
  write_collected_feats: false
  max_epoch: 40
  patience: null
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - train
      - loss
      - min
  -   - valid
      - loss
      - min
  -   - train
      - acc
      - max
  -   - valid
      - acc
      - max
  keep_nbest_models:
  - 10
  grad_clip: 5.0
  grad_clip_type: 2.0
  grad_noise: false
  accum_grad: 1
  no_forward_run: false
  resume: true
  train_dtype: float32
  use_amp: false
  log_interval: null
  use_tensorboard: true
  use_wandb: false
  wandb_project: null
  wandb_id: null
  wandb_entity: null
  wandb_name: null
  wandb_model_log_interval: -1
  detect_anomaly: false
  pretrain_path: null
  init_param: []
  ignore_init_mismatch: false
  freeze_param: []
  num_iters_per_epoch: null
  batch_size: 20
  valid_batch_size: null
  batch_bins: 1000000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_raw_en_bpe30/train/speech_shape
  - exp/asr_stats_raw_en_bpe30/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_en_bpe30/valid/speech_shape
  - exp/asr_stats_raw_en_bpe30/valid/text_shape.bpe
  batch_type: folded
  valid_batch_type: null
  fold_length:
  - 80000
  - 150
  sort_in_batch: descending
  sort_batch: descending
  multiple_iterator: false
  chunk_length: 500
  chunk_shift_ratio: 0.5
  num_cache_chunks: 1024
  train_data_path_and_name_and_type:
  -   - dump/raw/train_nodev/wav.scp
      - speech
      - sound
  -   - dump/raw/train_nodev/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - dump/raw/train_dev/wav.scp
      - speech
      - sound
  -   - dump/raw/train_dev/text
      - text
      - text
  allow_variable_data_keys: false
  max_cache_size: 0.0
  max_cache_fd: 32
  valid_max_cache_size: null
  optim: adadelta
  optim_conf: {}
  scheduler: null
  scheduler_conf: {}
  token_list:
  - <blank>
  - <unk>
  - ▁
  - T
  - E
  - O
  - R
  - Y
  - A
  - H
  - U
  - S
  - I
  - F
  - B
  - L
  - P
  - D
  - G
  - M
  - C
  - V
  - X
  - J
  - K
  - Z
  - W
  - N
  - Q
  - <sos/eos>
  init: null
  input_size: null
  ctc_conf:
      dropout_rate: 0.0
      ctc_type: builtin
      reduce: true
      ignore_nan_grad: true
  model_conf:
      ctc_weight: 0.5
      ignore_id: -1
      lsm_weight: 0.0
      length_normalized_loss: false
      report_cer: true
      report_wer: true
      sym_space: <space>
      sym_blank: <blank>
      extract_feats_in_collect_stats: true
  use_preprocessor: true
  token_type: bpe
  bpemodel: data/en_token_list/bpe_unigram30/bpe.model
  non_linguistic_symbols: null
  cleaner: null
  g2p: null
  speech_volume_normalize: null
  rir_scp: null
  rir_apply_prob: 1.0
  noise_scp: null
  noise_apply_prob: 1.0
  noise_db_range: '13_15'
  frontend: default
  frontend_conf:
      fs: 16k
  s