readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: noinfo
  datasets:
  - speechcommands
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `pyf98/speechcommands_35commands_conformer`
  
  This model was trained by Yifan Peng using speechcommands recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  git checkout bf523b70cae8300da004b41ec6a0d1b57c7ae8bb
  pip install -e .
  cd egs2/speechcommands/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model pyf98/speechcommands_35commands_conformer
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Tue Dec 28 20:39:29 EST 2021`
  - python version: `3.9.7 (default, Sep 16 2021, 13:09:58)  [GCC 7.5.0]`
  - espnet version: `espnet 0.10.5a1`
  - pytorch version: `pytorch 1.9.0`
  - Git hash: `bf523b70cae8300da004b41ec6a0d1b57c7ae8bb`
    - Commit date: `Tue Dec 28 14:53:22 2021 -0500`
  
  ## asr_35commands_conformer_noBatchNorm_warmup5k_lr2e-4_accum3_conv15_5speeds
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |infer/dev|9981|9981|97.4|2.6|0.0|0.0|2.6|2.6|
  |infer/test|11005|11005|97.5|2.5|0.0|0.0|2.5|2.5|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |infer/dev|9981|38699|98.2|1.3|0.5|0.7|2.5|2.6|
  |infer/test|11005|42682|98.3|1.2|0.5|0.6|2.3|2.5|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/train_asr_conformer_noBatchNorm.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_35commands_conformer_noBatchNorm_warmup5k_lr2e-4_accum3_conv15_5speeds
  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: 150
  patience: null
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - valid
      - loss
      - min
  -   - valid
      - acc
      - max
  keep_nbest_models: 10
  grad_clip: 5.0
  grad_clip_type: 2.0
  grad_noise: false
  accum_grad: 3
  no_forward_run: false
  resume: true
  train_dtype: float32
  use_amp: false
  log_interval: null
  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: 20
  valid_batch_size: null
  batch_bins: 4000000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_fbank_pitch_word_sp/train/speech_shape
  - exp/asr_stats_fbank_pitch_word_sp/train/text_shape.word
  valid_shape_file:
  - exp/asr_stats_fbank_pitch_word_sp/valid/speech_shape
  - exp/asr_stats_fbank_pitch_word_sp/valid/text_shape.word
  batch_type: numel
  valid_batch_type: null
  fold_length:
  - 800
  - 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/fbank_pitch/train_sp/feats.scp
      - speech
      - kaldi_ark
  -   - dump/fbank_pitch/train_sp/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - dump/fbank_pitch/dev/feats.scp
      - speech
      - kaldi_ark
  -   - dump/fbank_pitch/dev/text
      - text
      - text
  allow_variable_data_keys: false
  max_cache_size: 0.0
  max_cache_fd: 32
  valid_max_cache_size: null
  optim: adam
  optim_conf:
      lr: 0.0002
  scheduler: warmuplr
  scheduler_conf:
      warmup_steps: 5000
  token_list:
  - <blank>
  - <unk>
  - zero
  - five
  - 'yes'
  - seven
  - nine
  - one
  - down
  - 'no'
  - stop
  - two
  - go
  - six
  - 'on'
  - left
  - eight
  - right
  - 'off'
  - three
  - four
  - up
  - house
  - wow
  - dog
  - marvin
  - bird
  - cat
  - happy
  - sheila
  - bed
  - tree
  - backward
  - visual
  - learn
  - follow
  - forward
  - <sos/eos>
  init: null
  input_size: 83
  ctc_conf:
      dropout_rate: 0.0
      ctc_type: builtin
      reduce: true
      ignore_nan_grad: true
  model_conf:
      ctc_weight: 0.0
      lsm_weight: 0.1
      length_normalized_loss: false
  use_preprocessor: true
  token_type: word
  bpemodel: null
  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: 1.0
  noise_db_range: '13_15'
  frontend: null
  frontend_conf: {}
  specaug: specaug
  specaug_conf:
      apply_time_warp: true
      time_warp_window: 5
      time_warp_mode: bicubic
      apply_freq_mask: true
      freq_mask_width_range:
      - 0
      - 30
      num_freq_mask: 2
      apply_time_mask: true
      time_mask_width_range:
      - 0
      - 40
      num_time_mask: 2
  normalize: global_mvn
  normalize_conf:
      stats