readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: id
  datasets:
  - commonvoice
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `espnet/id_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 716eb8f92e19708acfd08ba3bd39d40890d3a84b
  pip install -e .
  cd egs2/commonvoice/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model espnet/id_commonvoice_blstm
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Mon Apr 18 11:07:50 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: `5e6e95d087af8a7a4c33c4248b75114237eae64b`
    - Commit date: `Mon Apr 4 21:04:45 2022 -0400`
  
  ## asr_train_asr_rnn_tr_raw_id_bpe150_sp
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.ave/test_id|3608|21471|89.6|9.0|1.4|0.9|11.3|28.3|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.ave/test_id|3608|139356|95.8|1.8|2.4|0.8|5.1|28.3|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.ave/test_id|3608|72919|92.9|4.0|3.1|1.2|8.3|28.3|
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/tuning/train_asr_rnn_tr.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_train_asr_rnn_tr_raw_id_bpe150_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: 50
  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: 16
  valid_batch_size: null
  batch_bins: 1000000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_raw_id_bpe150_sp/train/speech_shape
  - exp/asr_stats_raw_id_bpe150_sp/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_id_bpe150_sp/valid/speech_shape
  - exp/asr_stats_raw_id_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_id_sp/wav.scp
      - speech
      - sound
  -   - dump/raw/train_id_sp/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - dump/raw/dev_id/wav.scp
      - speech
      - sound
  -   - dump/raw/dev_id/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>
  - ▁
  - A
  - .
  - I
  - K
  - S
  - U
  - AN
  - H
  - E
  - R
  - T
  - M
  - P
  - O
  - NG
  - N
  - TA
  - ▁DI
  - ▁SE
  - LA
  - KAN
  - NYA
  - DA
  - ▁KE
  - C
  - B
  - SI
  - ','
  - ▁SAYA
  - ER
  - KA
  - TI
  - MA
  - L
  - RA
  - ▁BER
  - IN
  - GA
  - Y
  - ▁MEN
  - RI
  - BU
  - YANG
  - NA
  - JA
  - TU
  - MU
  - LI
  - SA
  - ▁MA
  - ANG
  - KU
  - BA
  - AR
  - ▁BA
  - ▁INI
  - ▁PER
  - AT
  - ▁PA
  - LU
  - ▁P
  - GI
  - ▁MEM
  - DI
  - EN
  - ▁BE
  - ▁TIDAK
  - WA
  - ▁DAN
  - D
  - ▁ME
  - ▁KA
  - ▁TER
  - ▁SA
  - '?'
  - F
  - ▁ITU
  - DU
  - ▁DIA
  - AL
  - HA
  - J
  - DE
  - LE
  - ▁PE
  - ▁MENG
  - ▁TE
  - ▁DENGAN
  - UN
  - JU
  - '-'
  - GU
  - G
  - 'ON'
  - ▁LA
  - IL
  - LAH
  - OR
  - ▁BI
  - ▁UNTUK
  - ▁DARI
  - ▁KAMU
  - ▁KO
  - ▁APA
  - ▁ADALAH
  - ▁AKU
  - V
  - ▁TOM
  - ▁SU
  - ▁ADA
  - ▁PEN
  - MAN
  - W
  - ▁AKAN
  - '""'
  - MPA
  - LO
  - '"'
  - GE
  - ▁DALAM
  - ▁TAHU
  - JALAN
  - ▁ORANG
  - '!'
  - Z
  - ”
  - X
  - ''''
  - Q
  - ':'
  - ;
  - ’
  - )
  - –
  - é
  - —
  - á
  - \
  - ‘
  - (
  - '['
  - É
  - ō
  - ń
  - ł
  - “
  - <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/id_token_list/bpe_unigram150/bpe.model
  non_linguistic_symb