readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: ru
  datasets:
  - commonvoice
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `espnet/russian_commonvoice_blstm`
  
  This model was trained by dzeinali using commonvoice recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  git checkout fa1b865352475b744c37f70440de1cc6b257ba70
  pip install -e .
  cd egs2/commonvoice/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model espnet/russian_commonvoice_blstm
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Wed Mar 23 19:56:59 EDT 2022`
  - python version: `3.9.5 (default, Jun  4 2021, 12:28:51)  [GCC 7.5.0]`
  - espnet version: `espnet 0.10.6a1`
  - pytorch version: `pytorch 1.8.1+cu102`
  - Git hash: `fa1b865352475b744c37f70440de1cc6b257ba70`
    - Commit date: `Wed Feb 16 16:42:36 2022 -0500`
  
  ## asr_blstm_specaug_num_time_mask_2_lr_0.1
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.ave/test_ru|7307|71189|79.3|18.4|2.4|2.1|22.8|71.1|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.ave/test_ru|7307|537025|95.0|3.0|2.0|1.1|6.1|71.1|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.ave/test_ru|7307|399162|93.2|4.5|2.3|1.4|8.2|71.1|
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/tuning/train_asr_rnn.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_blstm_specaug_num_time_mask_2_lr_0.1
  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: 15
  patience: 3
  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
  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: []
  num_iters_per_epoch: null
  batch_size: 30
  valid_batch_size: null
  batch_bins: 1000000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_raw_ru_bpe150_sp/train/speech_shape
  - exp/asr_stats_raw_ru_bpe150_sp/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_ru_bpe150_sp/valid/speech_shape
  - exp/asr_stats_raw_ru_bpe150_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_ru_sp/wav.scp
      - speech
      - sound
  -   - dump/raw/train_ru_sp/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - dump/raw/dev_ru/wav.scp
      - speech
      - sound
  -   - dump/raw/dev_ru/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:
      lr: 0.1
  scheduler: null
  scheduler_conf: {}
  token_list:
  - <blank>
  - <unk>
  - ▁
  - е
  - о
  - и
  - с
  - м
  - а
  - в
  - н
  - д
  - т
  - у
  - .
  - я
  - ы
  - л
  - й
  - з
  - п
  - к
  - но
  - ','
  - ▁в
  - ра
  - б
  - ж
  - ю
  - г
  - го
  - ▁по
  - ▁с
  - ни
  - ч
  - х
  - р
  - ко
  - ре
  - ш
  - ли
  - ть
  - ▁на
  - ль
  - ва
  - ер
  - ▁и
  - ет
  - ст
  - ро
  - на
  - ла
  - ле
  - ь
  - ен
  - то
  - ло
  - да
  - ка
  - ▁не
  - ств
  - ти
  - ци
  - ся
  - ▁за
  - ▁про
  - че
  - ем
  - ру
  - же
  - та
  - ▁при
  - ▁со
  - ▁это
  - ри
  - ф
  - ки
  - бо
  - ц
  - ▁С
  - ста
  - ения
  - щ
  - сти
  - э
  - К
  - О
  - А
  - И
  - '-'
  - Т
  - Я
  - Б
  - Д
  - М
  - '?'
  - –
  - Г
  - —
  - '!'
  - У
  - ъ
  - '"'
  - »
  - ё
  - Ф
  - ':'
  - Х
  - Ю
  - F
  - ;
  - O
  - I
  - E
  - R
  - −
  - В
  - С
  - ''''
  - П
  - C
  - L
  - A
  - ‐
  - H
  - T
  - G
  - S
  - (
  - )
  - B
  - K
  - P
  - Z
  - M
  - Й
  - X
  - Ц
  - Ж
  - Ч
  - Ш
  - «
  - З
  - Л
  - Е
  - Р
  - Э
  - N
  - Н
  - <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: 0.5
  use_preprocessor: true
  token_type: bpe
  bpemodel: data/ru_token_list/bpe_unigram150/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