readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: te
  datasets:
  - microsoft_indian_languages_interspeech2018
  
  license: cc-by-4.0
  ---
  
  ## ESPnet2  model
  
  ### ``
  
  This model was trained by Chaitanya Narisetty using  recipe in [espnet](https://github.com/espnet/espnet/).
  
  ### Demo: How to use in ESPnet2
  
  ```bash
  cd espnet
  
  pip install -e .
  cd egs2/ms_indic_is18/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model espnet/chai_microsoft_indian_langs_te
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Tue Mar 22 13:38:24 EDT 2022`
  - python version: `3.9.5 (default, Jun  4 2021, 12:28:51)  [GCC 7.5.0]`
  - espnet version: `espnet 0.10.7a1`
  - pytorch version: `pytorch 1.8.1+cu111`
  - Git hash: `f91410f712d1287cd6809c5bf26b54c5a40fe314`
    - Commit date: `Mon Mar 14 22:32:17 2022 -0400`
  
  ## asr_train_asr_xlsr53_conformer_raw_te_bpe150_sp
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|28413|78.0|19.5|2.5|2.4|24.4|80.1|
  |decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.best_asr_model_valid.acc.ave/test_te|3040|28413|78.0|19.4|2.6|2.4|24.4|79.7|
  |decode_transformer5_lm_lm_train_lm_transformer_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|28413|78.0|19.5|2.6|2.5|24.5|79.9|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|229419|95.6|2.2|2.2|1.6|6.1|80.1|
  |decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.best_asr_model_valid.acc.ave/test_te|3040|229419|95.6|2.2|2.2|1.6|6.0|79.7|
  |decode_transformer5_lm_lm_train_lm_transformer_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|229419|95.6|2.1|2.2|1.6|6.0|79.9|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|146657|92.7|4.7|2.6|1.6|8.9|80.1|
  |decode_transformer5_lm_lm_train_lm_rnn_te_bpe150_valid.loss.best_asr_model_valid.acc.ave/test_te|3040|146657|92.8|4.7|2.6|1.6|8.9|79.7|
  |decode_transformer5_lm_lm_train_lm_transformer_te_bpe150_valid.loss.ave_asr_model_valid.acc.ave/test_te|3040|146657|92.8|4.6|2.6|1.6|8.9|79.9|
  
  
  ##  config
  
  <details><summary>expand</summary>
  
  ```
  config: conf/tuning/train_asr_xlsr53_conformer.yaml
  print_config: false
  log_level: INFO
  dry_run: false
  iterator_type: sequence
  output_dir: exp/asr_train_asr_xlsr53_conformer_raw_te_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: 15
  val_scheduler_criterion:
  - valid
  - loss
  early_stopping_criterion:
  - valid
  - loss
  - min
  best_model_criterion:
  -   - valid
      - acc
      - max
  keep_nbest_models: 5
  nbest_averaging_interval: 0
  grad_clip: 5
  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:
  - frontend.upstream
  num_iters_per_epoch: null
  batch_size: 64
  valid_batch_size: null
  batch_bins: 1000000
  valid_batch_bins: null
  train_shape_file:
  - exp/asr_stats_raw_te_bpe150_sp_ssl/train/speech_shape
  - exp/asr_stats_raw_te_bpe150_sp_ssl/train/text_shape.bpe
  valid_shape_file:
  - exp/asr_stats_raw_te_bpe150_sp_ssl/valid/speech_shape
  - exp/asr_stats_raw_te_bpe150_sp_ssl/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_te_sp/wav.scp
      - speech
      - sound
  -   - dump/raw/train_te_sp/text
      - text
      - text
  valid_data_path_and_name_and_type:
  -   - dump/raw/dev_te/wav.scp
      - speech
      - sound
  -   - dump/raw/dev_te/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: 0.0005
  scheduler: warmuplr
  scheduler_conf:
      warmup_steps: 30000
  token_list:
  - <blank>
  - <unk>
  - ా
  - ు
  - ి
  - ం
  - ే
  - వ
  - న
  - ల
  - ▁అ
  - క
  - ్
  - ో
  - మ
  - ▁
  - త
  - ర
  - ప
  - ీ
  - ▁మ
  - య
  - డ
  - ▁ప
  - ద
  - ని
  - గ
  - ▁వ
  - స
  - కు
  - ె
  - ర్
  - ▁స
  - ▁క
  - ్య
  - న్న
  - ట
  - ▁