readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: ta
  datasets:
  - commonvoice
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `espnet/tamil_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/tamil_commonvoice_blstm
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Mon May  2 11:41:47 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: `716eb8f92e19708acfd08ba3bd39d40890d3a84b`
    - Commit date: `Thu Apr 28 19:50:59 2022 -0400`
  
  ## asr_train_asr_rnn_raw_ta_bpe150_sp
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.ave/test_ta|11499|72228|66.0|30.5|3.5|3.2|37.2|79.7|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.ave/test_ta|11499|638106|93.5|3.8|2.7|1.8|8.3|79.9|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.ave/test_ta|11499|422957|89.8|7.0|3.2|1.8|12.0|79.8|
  
  ## 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_train_asr_rnn_raw_ta_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: 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_ta_bpe150_sp/train/speech_shape
  - exp/asr_stats_raw_ta_bpe150_sp/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_ta_bpe150_sp/valid/speech_shape
  - exp/asr_stats_raw_ta_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_ta_sp/wav.scp
      - speech
      - sound
  -   - dump/raw/train_ta_sp/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - dump/raw/dev_ta/wav.scp
      - speech
      - sound
  -   - dump/raw/dev_ta/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>
  - ி
  - ு
  - ா
  - வ
  - ை
  - ர
  - ன
  - ▁ப
  - .
  - ▁க
  - ்
  - ▁அ
  - ட
  - த
  - க
  - ே
  - ம
  - ல
  - ம்
  - ன்
  - ும்
  - ய
  - ▁வ
  - க்க
  - ▁இ
  - ▁த
  - த்த
  - ▁
  - து
  - ந்த
  - ப
  - ▁ச
  - ிய
  - ▁ம
  - ோ
  - ெ
  - ர்
  - ரு
  - ழ
  - ப்ப
  - ண
  - ொ
  - ▁ந
  - ட்ட
  - ▁எ
  - ற
  - ைய
  - ச
  - ள
  - க்
  - ில்
  - ங்க
  - ','
  - ண்ட
  - ▁உ
  - ன்ற
  - ார்
  - ப்
  - ூ
  - ல்
  - ள்
  - கள
  - கள்
  - ாக
  - ற்ற
  - டு
  - ீ
  - ந
  - '!'
  - '?'
  - '"'
  - ஏ
  - ஸ
  - ஞ
  - ஷ
  - ஜ
  - ஓ
  - '-'
  - ஐ
  - ஹ
  - A
  - E
  - ங
  - R
  - N
  - ஈ
  - ஃ
  - O
  - I
  - ;
  - S
  - T
  - L
  - எ
  - இ
  - அ
  - H
  - C
  - D
  - M
  - U
  - உ
  - B
  - G
  - P
  - Y
  - ''''
  - ௌ
  - K
  - ':'
  - W
  - ஆ
  - F
  - —
  - V
  - ”
  - J
  - Z
  - ’
  - ‘
  - X
  - Q
  - (
  - )
  - ·
  - –
  - ⁄
  - '3'
  - '4'
  - ◯
  - _
  - '&'
  - ௗ
  - •
  - '`'
  - ஔ
  - “
  - ஊ
  - š
  - ഥ
  - '1'
  - '2'
  - á
  - ‚
  - é
  - ô
  - ஒ
  - <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/ta_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_apply_prob: 1