readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: en
  datasets:
  - slurp
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `espnet/slurp_slu_2pass`
  
  This model was trained by Siddhant using slurp recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
  if you haven't done that already.
  
  ```bash
  cd espnet
  git checkout 3b54bfe52a294cdfce668c20d777bfa65f413745
  pip install -e .
  cd egs2/slurp/slu1
  ./run.sh --skip_data_prep false --skip_train true --download_model espnet/slurp_slu_2pass
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Mon Jan 10 22:53:19 EST 2022`
  - python version: `3.9.5 (default, Jun  4 2021, 12:28:51)  [GCC 7.5.0]`
  - espnet version: `espnet 0.10.3a2`
  - pytorch version: `pytorch 1.8.1+cu102`
  - Git hash: `17758ad804fd7c4b6f88ef5601f475a241dc4605`
    - Commit date: `Fri Oct 15 16:08:01 2021 -0400`
  
  ## asr_train_asr_bert_conformer_deliberation_raw_en_word
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |inference_asr_model_valid.acc.ave_10best/devel|8690|108484|84.1|10.3|5.6|3.2|19.2|55.1|
  |inference_asr_model_valid.acc.ave_10best/test|13078|159666|83.9|10.4|5.7|3.2|19.2|53.2|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |inference_asr_model_valid.acc.ave_10best/devel|8690|512732|92.1|3.9|4.1|3.3|11.2|55.1|
  |inference_asr_model_valid.acc.ave_10best/test|13078|757056|92.0|3.9|4.1|3.3|11.3|53.2|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  
  ## ASR config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/tuning/train_asr_bert_conformer_deliberation.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_train_asr_bert_conformer_deliberation_raw_en_word
  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: null
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - valid
      - acc
      - max
  keep_nbest_models: 10
  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_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:
  - ../../slurp_new/asr1/exp/asr_train_asr_conformer_raw_en_word/valid.acc.ave_10best.pth:encoder:encoder
  ignore_init_mismatch: false
  freeze_param:
  - encoder
  - postdecoder.model
  num_iters_per_epoch: null
  batch_size: 20
  valid_batch_size: null
  batch_bins: 1000000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_raw_en_word/train/speech_shape
  - exp/asr_stats_raw_en_word/train/text_shape.word
  - exp/asr_stats_raw_en_word/train/transcript_shape.word
  valid_shape_file:
  - exp/asr_stats_raw_en_word/valid/speech_shape
  - exp/asr_stats_raw_en_word/valid/text_shape.word
  - exp/asr_stats_raw_en_word/valid/transcript_shape.word
  batch_type: folded
  valid_batch_type: null
  fold_length:
  - 80000
  - 150
  - 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/wav.scp
      - speech
      - sound
  -   - dump/raw/train/text
      - text
      - text
  -   - dump/raw/train/transcript
      - transcript
      - text
  valid_data_path_and_name_and_type:
  -   - dump/raw/devel/wav.scp
      - speech
      - sound
  -   - dump/raw/devel/text
      - text
      - text
  -   - dump/raw/devel/transcript
      - transcript
      - 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: 25000
  token_list:
  - <blank>
  - <unk>
  - ▁the
  - s
  - ▁to
  - ▁i
  - ▁me
  - ▁you
  - ▁what
  - ▁a
  - ▁is
  - ▁my
  - ▁please
  - a
  - ''''
  - y
  - ▁in
  - ing
  - ▁s
  - e
  - ▁for
  - i
  - ▁on
  - d
  - t
  - o
  - u
  - er
  - p
  - ▁of
  - es
  - re
  - l
  - ▁it
  - ▁p
  - le
  - ▁f
  - ▁m
  - ▁email
  - ▁d
  - m
  - ▁c
  - st
  - r
  - n
  - ar
  - ▁h
  - b
  - ▁that
  - c
  - ▁this
  - h
  - an
  - email_query
  - ▁play
  - ▁re
  - ▁b
  - ▁do
  - ▁can
  - at
  - ▁have
  - g
  - ▁from
  - ▁and
  - en
  - email_sendemail
  - ▁olly
  - 'on'
  - ▁new
  - it
  - qa_factoid
  - calendar_set
  - ▁any
  - or
  - ▁g
  - ▁how
  - ▁t
  - ▁tell
  - ch
  - ▁not
  - ▁about
  - ▁at
  - ate
  - general_negate
  - f
  - ▁today
  - ▁e
  - ed
  - ▁list
  - ▁r
  - in
  - k
  - ic
  - social_post
  - ▁are
  - play_music
  - general_quirky
  - ▁l
  - al
  - 