readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: el
  datasets:
  - commonvoice
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `espnet/greek_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/greek_commonvoice_blstm
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Sun Apr 17 19:51:46 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_el_bpe150_sp
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.ave/test_el|1681|10574|90.7|7.7|1.6|0.5|9.9|27.4|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.ave/test_el|1681|61731|96.6|1.5|1.9|0.6|4.0|27.5|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_rnn_asr_model_valid.acc.ave/test_el|1681|44869|95.7|2.4|1.9|0.7|5.0|27.5|
  
  ## 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_el_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_el_bpe150_sp/train/speech_shape
  - exp/asr_stats_raw_el_bpe150_sp/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_el_bpe150_sp/valid/speech_shape
  - exp/asr_stats_raw_el_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_el_sp/wav.scp
      - speech
      - sound
  -   - dump/raw/train_el_sp/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - dump/raw/dev_el/wav.scp
      - speech
      - sound
  -   - dump/raw/dev_el/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>
  - ▁
  - α
  - ν
  - ρ
  - ι
  - ε
  - ο
  - τ
  - ς
  - λ
  - ά
  - σ
  - κ
  - ό
  - .
  - ί
  - ▁π
  - έ
  - ω
  - π
  - γ
  - η
  - μ
  - υ
  - ','
  - ή
  - ▁το
  - χ
  - θ
  - ώ
  - ▁και
  - ▁του
  - δ
  - τα
  - αν
  - ει
  - ▁να
  - ▁σ
  - ου
  - σε
  - ▁κ
  - ύ
  - ού
  - φ
  - στ
  - ρα
  - ια
  - ▁μ
  - ▁δ
  - ▁έ
  - τι
  - β
  - ρι
  - μα
  - πο
  - εί
  - ▁φ
  - ▁με
  - κα
  - ▁α
  - ος
  - ;
  - ▁χ
  - '!'
  - ▁β
  - ες
  - ▁στο
  - τε
  - ▁γ
  - '"'
  - τη
  - ▁ο
  - ▁Π
  - ▁δε
  - ▁που
  - ▁μου
  - με
  - ▁τα
  - σα
  - λα
  - Μ
  - ιά
  - ▁από
  - εις
  - ▁την
  - έρ
  - ▁ε
  - ▁τον
  - ρά
  - λο
  - ▁είπε
  - ▁μα
  - ψ
  - Τ
  - ''''
  - Κ
  - Σ
  - Ε
  - Α
  - Θ
  - '-'
  - Η
  - Ά
  - Ν
  - Δ
  - Χ
  - ’
  - Ξ
  - »
  - Π
  - ΐ
  - Ώ
  - Ο
  - A
  - O
  - ·
  - ':'
  - E
  - G
  - H
  - N
  - R
  - T
  - V
  - Υ
  - ϋ
  - Ψ
  - ́
  - ‘
  - Ι
  - Ί
  - Ρ
  - Ω
  - «
  - Ύ
  - Ζ
  - ϊ
  - Ή
  - Φ
  - Λ
  - Ό
  - Γ
  - Έ
  - Β
  - ζ
  - M
  - ξ
  - <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/el_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
  no