readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: jp
  datasets:
  - csj
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `espnet/kan-bayashi_csj_asr_train_asr_conformer`
  
  This model was trained by Nelson Yalta using csj recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  git checkout 0d8cd47dd3572248b502bc831cd305e648170233
  pip install -e .
  cd egs2/csj/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model espnet/kan-bayashi_csj_asr_train_asr_conformer
  ```
  
  
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/tuning/train_asr_conformer.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_train_asr_conformer_raw_char_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: 47308
  dist_launcher: null
  multiprocessing_distributed: true
  cudnn_enabled: true
  cudnn_benchmark: false
  cudnn_deterministic: true
  collect_stats: false
  write_collected_feats: false
  max_epoch: 100
  patience: null
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - valid
      - acc
      - max
  keep_nbest_models: 10
  grad_clip: 5.0
  grad_clip_type: 2.0
  grad_noise: false
  accum_grad: 6
  no_forward_run: false
  resume: true
  train_dtype: float32
  use_amp: false
  log_interval: null
  pretrain_path: []
  pretrain_key: []
  num_iters_per_epoch: null
  batch_size: 20
  valid_batch_size: null
  batch_bins: 15000000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_raw_sp/train/speech_shape
  - exp/asr_stats_raw_sp/train/text_shape.char
  valid_shape_file:
  - exp/asr_stats_raw_sp/valid/speech_shape
  - exp/asr_stats_raw_sp/valid/text_shape.char
  batch_type: numel
  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_nodup_sp/wav.scp
      - speech
      - sound
  -   - dump/raw/train_nodup_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
  valid_max_cache_size: null
  optim: adam
  optim_conf:
      lr: 0.002
  scheduler: warmuplr
  scheduler_conf:
      warmup_steps: 25000
  token_list:
  - <blank>
  - <unk>
  - "\u306E"
  - "\u3044"
  - "\u3067"
  - "\u3068"
  - "\u30FC"
  - "\u3066"
  - "\u3046"
  - "\u307E"
  - "\u3059"
  - "\u3057"
  - "\u306B"
  - "\u3063"
  - "\u306A"
  - "\u3048"
  - "\u305F"
  - "\u3053"
  - "\u304C"
  - "\u304B"
  - "\u306F"
  - "\u308B"
  - "\u3042"
  - "\u3093"
  - "\u308C"
  - "\u3082"
  - "\u3092"
  - "\u305D"
  - "\u308A"
  - "\u3089"
  - "\u3051"
  - "\u304F"
  - "\u3069"
  - "\u3088"
  - "\u304D"
  - "\u3060"
  - "\u304A"
  - "\u30F3"
  - "\u306D"
  - "\u4E00"
  - "\u3055"
  - "\u30B9"
  - "\u8A00"
  - "\u3061"
  - "\u3064"
  - "\u5206"
  - "\u30C8"
  - "\u3084"
  - "\u4EBA"
  - "\u30EB"
  - "\u601D"
  - "\u308F"
  - "\u6642"
  - "\u65B9"
  - "\u3058"
  - "\u30A4"
  - "\u884C"
  - "\u4F55"
  - "\u307F"
  - "\u5341"
  - "\u30E9"
  - "\u4E8C"
  - "\u672C"
  - "\u8A9E"
  - "\u5927"
  - "\u7684"
  - "\u30AF"
  - "\u30BF"
  - "\u308D"
  - "\u3070"
  - "\u3087"
  - "\u3083"
  - "\u97F3"
  - "\u51FA"
  - "\u305B"
  - "\u30C3"
  - "\u5408"
  - "\u65E5"
  - "\u4E2D"
  - "\u751F"
  - "\u4ECA"
  - "\u898B"
  - "\u30EA"
  - "\u9593"
  - "\u8A71"
  - "\u3081"
  - "\u30A2"
  - "\u5F8C"
  - "\u81EA"
  - "\u305A"
  - "\u79C1"
  - "\u30C6"
  - "\u4E0A"
  - "\u5E74"
  - "\u5B66"
  - "\u4E09"
  - "\u30B7"
  - "\u5834"
  - "\u30C7"
  - "\u5B9F"
  - "\u5B50"
  - "\u4F53"
  - "\u8003"
  - "\u5BFE"
  - "\u7528"
  - "\u6587"
  - "\u30D1"
  - "\u5F53"
  - "\u7D50"
  - "\u5EA6"
  - "\u5165"
  - "\u8A33"
  - "\u30D5"
  - "\u98A8"
  - "\u30E0"
  - "\u30D7"
  - "\u6700"
  - "\u30C9"
  - "\u30EC"
  - "\u30ED"
  - "\u4F5C"
  - "\u6570"
  - "\u76EE"
  - "\u30B8"
  - "\u95A2"
  - "\u30B0"
  - "\u767A"
  - "\u8005"
  - "\u5B9A"
  - "\u3005"
  - "\u3050"
  - "\u30B3"
  - "\u4E8B"
  - "\u624B"
  - "\u5168"
  - "\u5909"
  - "\u30DE"
  - "\u6027"
  - "\u8868"
  - "\u4F8B"
  - "\u52D5"
  - "\u8981"
  - "\u5148"
  - "\u524D"
  - "\u610F"
  - "\u90E8"
  - "\u4F1A"
  - "\u6301"
  - "\u30E1"
  - "\u5316"
  - "\u9054"
  - "\u4ED8"
  - "\u5F62"
  - "\u73FE"
  - "\u4E94"
  - "\u30AB"
  - "\u3079"
  - "\u53D6"
  - "\u56DE"
  - "\u5E38"
  - "\u4F7F"
  - "\u611F"
  - "\u66F8"
  - "\u6C17"
  - "\u6CD5"
  - "\u7A0B"
  - "\u3071"
  - "\u56DB"
  - "\u591A"
  - "\u8272"
  - "\u30BB"
  - "\u7406"
  - "\u975E"
  - "\u30D0"
  - "\u58F0"
  - "\u5358"
  - "\u756A"
  - "\uFF21"
  - "\u6210"
  - "\u540C"
  - "\u901A"
  - "\u30A3"
  - "\u679C"
  - "\u30AD"
  - "\u554F"
  - "\u984C"
  - "\u69CB"
  - "\u56FD"
  - "\u6765"
  - "\u9AD8"
  - "\u6B21"
  - "\u9A13"
  - "\u3052"
  - "\u30C1"
  - "\u4EE5"
  - "\u3054"
  - "\u4EE3"
  - "\u30E2"
  - "\u30AA"
  - "\u51C4"
  - "\u7279"
  - "\u77E5"
  - "\u30E5"
  - "\u7269"
  - "\u660E"
  - "\u70B9"
  - "\u5473"
  - "\u767E"
  - "\u89E3"
  - "\u8FD1"
  - "\u8B58"
  - "\u5730"
  - "\u540D"
  - "\u805E"
  - "\u4E0B"
  - "\u5C0F"
  - "\u6559"
  - "\u30B5"
  - "\u70BA"
  - "\u4E5D"
  - "\u30D6"
  - "\u5BB6"
  - "\u30CB"
  - "\u521D"
  