readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: fr
  datasets:
  - commonvoice
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `espnet/french_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/french_commonvoice_blstm
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Fri Apr 29 17:20:37 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_fr_bpe350_sp
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.best/test_fr|15621|151227|75.1|22.6|2.3|2.3|27.2|81.0|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.best/test_fr|15621|952803|92.9|3.6|3.5|2.0|9.1|81.0|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.best/test_fr|15621|730898|89.9|6.5|3.6|1.9|12.0|81.0|
  
  ## 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_fr_bpe350_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_fr_bpe350_sp/train/speech_shape
  - exp/asr_stats_raw_fr_bpe350_sp/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_fr_bpe350_sp/valid/speech_shape
  - exp/asr_stats_raw_fr_bpe350_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_fr_sp/wav.scp
      - speech
      - sound
  -   - dump/raw/train_fr_sp/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - dump/raw/dev_fr/wav.scp
      - speech
      - sound
  -   - dump/raw/dev_fr/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>
  - S
  - ▁
  - E
  - I
  - T
  - A
  - U
  - O
  - .
  - L
  - R
  - é
  - P
  - C
  - V
  - 'ON'
  - M
  - ▁DE
  - ','
  - N
  - ▁S
  - D
  - IN
  - ''''
  - OU
  - ▁D
  - G
  - IS
  - ▁P
  - ER
  - ▁C
  - ▁L
  - ▁LA
  - B
  - ▁"
  - ▁A
  - RE
  - AN
  - ."
  - ▁M
  - ▁F
  - '-'
  - F
  - ▁T
  - ES
  - ENT
  - ▁LE
  - EN
  - IT
  - LE
  - ▁N
  - è
  - H
  - ’
  - Y
  - X
  - Z
  - K
  - J
  - ê
  - '?'
  - '!'
  - É
  - ç
  - W
  - à
  - ô
  - â
  - Q
  - î
  - À
  - '"'
  - œ
  - û
  - ù
  - ï
  - ':'
  - ;
  - —
  - È
  - «
  - »
  - Ç
  - Ê
  - ë
  - á
  - ü
  - í
  - ö
  - ó
  - )
  - Î
  - Â
  - ō
  - ä
  - –
  - Ô
  - ć
  - š
  - '&'
  - ñ
  - '='
  - ł
  - č
  - Û
  - ú
  - ū
  - ø
  - ā
  - ã
  - ă
  - /
  - ń
  - _
  - ș
  - å
  - æ
  - °
  - ß
  - “
  - ”
  - ž
  - ı
  - Œ
  - Ö
  - ř
  - Š
  - ý
  - Ō
  - ‘
  - ş
  - ·
  - o
  - ę
  - ÿ
  - Å
  - ą
  - ð
  - ī
  - ò
  - ż
  - ě
  - ś
  - '`'
  - Ë
  - ì
  - ē
  - ğ
  - İ
  - '*'
  - Í
  - ė
  - Ó
  - ő
  - đ
  - ʻ
  - Ü
  - õ
  - Ä
  - ņ
  - ṣ
  - '|'
  - ʾ
  - π
  - Ā
  - σ
  - '%'
  - ả
  - κ
  - ʼ
  - ň
  - Ú
  - ļ
  - ư
  - '1'
  - '2'
  - '}'
  - ĩ
  - Ҫ
  - ا
  - ầ
  - ⁄
  - ṇ
  - þ
  - ǎ
  - ο
  - ′
  - s
  - §
  - ľ
  - ǹ
  - Ʉ
  - ː
  - ̱
  - γ
  - ν
  - ن
  - ạ
  - ễ
  - ộ
  - ≥
  - 星
  - ề
  - ṯ
  - τ
  - δ
  - Δ
  - Ț
  - Ș
  - Ū
  - Ř
  - ∆
  - →
  - ệ
  - Г
  - ơ
  - ţ
  - Þ
  - Ñ
  - ±
  - ť
  - ŏ
  - €
  - „
  - ʿ
  - Ć
  - £
  - α
  - Ż
  - Ş
  - β
  - ź
  - Đ
  - Ø
  - Ś
  - Ž
  - Æ
  - $
  - Ï
  - Ł
  - ț
  - Č
  - Á
  - ́
  - Ù
  - Μ
  - ι
  - ρ
  - ό
  - И
  - з
  - 京
  - 北
  - ď
  - Ġ
  - Ṭ
  - −
  -