readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: en
  datasets:
  - swbd_da
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `akreal/espnet2_swbd_da_hubert_conformer`
  
  This model was trained by Pavel Denisov using swbd_da recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  git checkout 08c6efbc6299c972301236625f9abafe087c9f9c
  pip install -e .
  cd egs2/swbd_da/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model espnet/akreal_swbd_da_hubert_conformer
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Thu Jan 20 19:31:21 CET 2022`
  - python version: `3.8.12 (default, Aug 30 2021, 00:00:00)  [GCC 11.2.1 20210728 (Red Hat 11.2.1-1)]`
  - espnet version: `espnet 0.10.6a1`
  - pytorch version: `pytorch 1.10.1+cu113`
  - Git hash: `08c6efbc6299c972301236625f9abafe087c9f9c`
    - Commit date: `Tue Jan 4 13:40:33 2022 +0100`
  
  ## asr_train_asr_raw_en_word_sp
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.loss.ave/test_context3|2379|2379|66.3|33.7|0.0|0.0|33.7|33.7|
  |decode_asr_asr_model_valid.loss.ave/valid_context3|8116|8116|69.5|30.5|0.0|0.0|30.5|30.5|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.loss.ave/test_context3|2379|19440|76.1|17.7|6.2|8.1|32.0|33.7|
  |decode_asr_asr_model_valid.loss.ave/valid_context3|8116|66353|79.5|16.1|4.4|8.0|28.5|30.5|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/tuning/train_asr_conformer_hubert_context3.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_train_asr_conformer_hubert_context3_raw_en_word_sp
  ngpu: 1
  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: 0
  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: 35
  patience: null
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - valid
      - loss
      - min
  keep_nbest_models: 7
  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
  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:
  - frontend.upstream
  num_iters_per_epoch: null
  batch_size: 20
  valid_batch_size: null
  batch_bins: 4000000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_context3_raw_en_word_sp/train/speech_shape
  - exp/asr_stats_context3_raw_en_word_sp/train/text_shape.word
  valid_shape_file:
  - exp/asr_stats_context3_raw_en_word_sp/valid/speech_shape
  - exp/asr_stats_context3_raw_en_word_sp/valid/text_shape.word
  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_context3_sp/wav.scp
      - speech
      - sound
  -   - dump/raw/train_context3_sp/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - dump/raw/valid_context3/wav.scp
      - speech
      - sound
  -   - dump/raw/valid_context3/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: 0.0001
  scheduler: warmuplr
  scheduler_conf:
      warmup_steps: 25000
  token_list:
  - <blank>
  - <unk>
  - statement
  - backchannel
  - opinion
  - abandon
  - agree
  - yn_q
  - apprec
  - 'yes'
  - uninterp
  - close
  - wh_q
  - acknowledge
  - 'no'
  - yn_decl_q
  - hedge
  - backchannel_q
  - sum
  - quote
  - affirm
  - other
  - directive
  - repeat
  - open_q
  - completion
  - rhet_q
  - hold
  - reject
  - answer
  - neg
  - ans_dispref
  - repeat_q
  - open
  - or
  - commit
  - maybe
  - decl_q
  - third_pty
  - self_talk
  - thank
  - apology
  - tag_q
  - downplay
  - <sos/eos>
  init: null
  input_size: null
  ctc_conf:
      dropout_rate: 0.0
      ctc_type: builtin
      reduce: true
      ignore_nan_grad: true
  joint_net_conf: null
  model_conf:
      ctc_weight: 0.0
      extract_feats_in_collect_stats: false
  use_preprocessor: true
  token_type: word
  bpemodel: null
  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: s3prl
  frontend_conf:
      frontend_conf: