readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: en
  datasets:
  - an4
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `jkang/espnet2_an4_transformer`
  
  This model was trained by jaekookang using an4 recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
  if you haven't done that already.
  
  ```bash
  cd espnet
  git checkout c8f11ef7f5c571fbcc34d53da449353bd75037ce
  pip install -e .
  cd egs2/an4/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model jkang/espnet2_an4_transformer
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Fri Aug 19 17:38:46 KST 2022`
  - python version: `3.9.12 (main, Apr  5 2022, 06:56:58)  [GCC 7.5.0]`
  - espnet version: `espnet 202207`
  - pytorch version: `pytorch 1.10.1`
  - Git hash: `c8f11ef7f5c571fbcc34d53da449353bd75037ce`
    - Commit date: `Fri Aug 19 17:20:13 2022 +0900`
  
  ## asr_train_asr_transformer_raw_en_bpe30_sp
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.ave/test|130|773|92.0|5.8|2.2|0.4|8.4|33.1|
  |decode_asr_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.ave/train_dev|100|591|89.5|7.3|3.2|0.5|11.0|41.0|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.ave/test|130|2565|96.3|1.1|2.6|0.6|4.3|33.1|
  |decode_asr_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.ave/train_dev|100|1915|94.1|1.9|4.0|0.4|6.3|41.0|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.ave/test|130|2695|96.4|1.1|2.5|0.6|4.1|33.1|
  |decode_asr_lm_lm_train_lm_en_bpe30_valid.loss.ave_asr_model_valid.acc.ave/train_dev|100|2015|94.4|1.8|3.8|0.3|6.0|41.0|
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/train_asr_transformer.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_train_asr_transformer_raw_en_bpe30_sp
  ngpu: 1
  seed: 0
  num_workers: 1
  num_att_plot: 3
  dist_backend: nccl
  dist_init_method: env://
  dist_world_size: 4
  dist_rank: 0
  local_rank: 0
  dist_master_addr: localhost
  dist_master_port: 43015
  dist_launcher: null
  multiprocessing_distributed: true
  unused_parameters: false
  sharded_ddp: false
  cudnn_enabled: true
  cudnn_benchmark: false
  cudnn_deterministic: true
  collect_stats: false
  write_collected_feats: false
  max_epoch: 200
  patience: null
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - valid
      - acc
      - max
  keep_nbest_models: 10
  nbest_averaging_interval: 0
  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_matplotlib: true
  use_tensorboard: true
  create_graph_in_tensorboard: false
  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: 64
  valid_batch_size: null
  batch_bins: 1000000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_raw_en_bpe30_sp/train/speech_shape
  - exp/asr_stats_raw_en_bpe30_sp/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_en_bpe30_sp/valid/speech_shape
  - exp/asr_stats_raw_en_bpe30_sp/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_sp/wav.scp
      - speech
      - sound
  -   - dump/raw/train_nodev_sp/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: adam
  optim_conf:
      lr: 0.001
  scheduler: warmuplr
  scheduler_conf:
      warmup_steps: 2500
  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: xavier_uniform
  input_size: null
  ctc_conf:
      dropout_rate: 0.0
      ctc_type: builtin
      reduce: true
      ignore_nan_grad: null
      zero_infinity: true
  joint_net_conf: null
  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: 