readme: ---
  tags:
  - espnet
  - audio
  - automatic-speech-recognition
  language: en
  datasets:
  - librispeech
  license: cc-by-4.0
  ---
  
  ## ESPnet2 ASR model 
  
  ### `asapp/e_branchformer_librispeech`
  
  This model was trained by Kwangyoun Kim using librispeech recipe in [espnet](https://github.com/espnet/espnet/).
  
  References:
  - [E-Branchformer: Branchformer with Enhanced merging for speech recognition (SLT 2022)](https://arxiv.org/abs/2210.00077)
  - [Branchformer: Parallel MLP-Attention Architectures to Capture Local and Global Context for Speech Recognition and Understanding (ICML 2022)](https://proceedings.mlr.press/v162/peng22a.html)
  
  ### 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 7a203d55543df02f0369d5608cd6f3033119a135
  pip install -e .
  cd egs2/librispeech/asr1
  ./run.sh --skip_data_prep false --skip_train true --download_model asapp/e_branchformer_librispeech
  ```
  
  <!-- Generated by scripts/utils/show_asr_result.sh -->
  # RESULTS
  ## Environments
  - date: `Mon Jan  2 12:59:49 UTC 2023`
  - python version: `3.8.15 (default, Nov 24 2022, 15:19:38)  [GCC 11.2.0]`
  - espnet version: `espnet 202211`
  - pytorch version: `pytorch 1.10.1`
  - Git hash: `7a203d55543df02f0369d5608cd6f3033119a135`
    - Commit date: `Fri Dec 23 00:58:49 2022 +0000`
  
  ## asr_train_asr_e_branchformer_raw_en_bpe5000_sp
  ### WER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.acc.ave/dev_clean|2703|54402|98.2|1.6|0.2|0.2|2.0|26.3|
  |decode_asr_asr_model_valid.acc.ave/dev_other|2864|50948|95.8|3.8|0.3|0.4|4.6|40.6|
  |decode_asr_asr_model_valid.acc.ave/test_clean|2620|52576|98.1|1.8|0.2|0.2|2.2|26.6|
  |decode_asr_asr_model_valid.acc.ave/test_other|2939|52343|95.9|3.7|0.4|0.5|4.6|42.0|
  |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_10best_asr_model_valid.acc.ave/dev_clean|2703|54402|98.5|1.3|0.2|0.2|1.6|22.5|
  |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_10best_asr_model_valid.acc.ave/dev_other|2864|50948|96.7|3.0|0.3|0.3|3.7|34.7|
  |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_10best_asr_model_valid.acc.ave/test_clean|2620|52576|98.4|1.5|0.2|0.2|1.9|23.1|
  |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_10best_asr_model_valid.acc.ave/test_other|2939|52343|96.7|2.9|0.4|0.4|3.7|37.1|
  
  ### CER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.acc.ave/dev_clean|2703|288456|99.6|0.2|0.2|0.2|0.6|26.3|
  |decode_asr_asr_model_valid.acc.ave/dev_other|2864|265951|98.6|0.9|0.5|0.5|1.9|40.6|
  |decode_asr_asr_model_valid.acc.ave/test_clean|2620|281530|99.5|0.2|0.2|0.2|0.7|26.6|
  |decode_asr_asr_model_valid.acc.ave/test_other|2939|272758|98.7|0.8|0.5|0.5|1.8|42.0|
  |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_10best_asr_model_valid.acc.ave/dev_clean|2703|288456|99.6|0.2|0.2|0.2|0.6|22.5|
  |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_10best_asr_model_valid.acc.ave/dev_other|2864|265951|98.7|0.7|0.6|0.4|1.7|34.7|
  |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_10best_asr_model_valid.acc.ave/test_clean|2620|281530|99.5|0.2|0.2|0.2|0.6|23.1|
  |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_10best_asr_model_valid.acc.ave/test_other|2939|272758|98.8|0.6|0.6|0.4|1.6|37.1|
  
  ### TER
  
  |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
  |---|---|---|---|---|---|---|---|---|
  |decode_asr_asr_model_valid.acc.ave/dev_clean|2703|68010|97.8|1.6|0.6|0.3|2.6|26.3|
  |decode_asr_asr_model_valid.acc.ave/dev_other|2864|63110|94.9|3.9|1.2|0.8|5.9|40.6|
  |decode_asr_asr_model_valid.acc.ave/test_clean|2620|65818|97.6|1.7|0.7|0.3|2.7|26.6|
  |decode_asr_asr_model_valid.acc.ave/test_other|2939|65101|95.0|3.6|1.4|0.7|5.7|42.0|
  |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_10best_asr_model_valid.acc.ave/dev_clean|2703|68010|98.1|1.3|0.6|0.3|2.1|22.5|
  |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_bins500000000_accum_grad2_use_amptrue_valid.loss.ave_10best_asr_model_valid.acc.ave/dev_other|2864|63110|95.6|3.1|1.3|0.6|5.0|34.7|
  |decode_asr_lm_lm_train_lm_transformer2_bpe5000_scheduler_confwarmup_steps25000_batch_b