import from zenodo

README.md

@@ -0,0 +1,50 @@
+---
+tags:
+- espnet
+- audio
+- automatic-speech-recognition
+language: en
+datasets:
+- wsj
+license: cc-by-4.0
+---
+## Example ESPnet2 ASR model 
+### `kamo-naoyuki/wsj`
+♻️ Imported from https://zenodo.org/record/4003381/
+
+This model was trained by kamo-naoyuki using wsj/asr1 recipe in [espnet](https://github.com/espnet/espnet/).
+### Demo: How to use in ESPnet2
+```python
+# coming soon
+```
+### Citing ESPnet
+```BibTex
+@inproceedings{watanabe2018espnet,
+  author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson {Enrique Yalta Soplin} and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
+  title={{ESPnet}: End-to-End Speech Processing Toolkit},
+  year={2018},
+  booktitle={Proceedings of Interspeech},
+  pages={2207--2211},
+  doi={10.21437/Interspeech.2018-1456},
+  url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
+}
+@inproceedings{hayashi2020espnet,
+  title={{Espnet-TTS}: Unified, reproducible, and integratable open source end-to-end text-to-speech toolkit},
+  author={Hayashi, Tomoki and Yamamoto, Ryuichi and Inoue, Katsuki and Yoshimura, Takenori and Watanabe, Shinji and Toda, Tomoki and Takeda, Kazuya and Zhang, Yu and Tan, Xu},
+  booktitle={Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
+  pages={7654--7658},
+  year={2020},
+  organization={IEEE}
+}
+```
+or arXiv:
+```bibtex
+@misc{watanabe2018espnet,
+      title={ESPnet: End-to-End Speech Processing Toolkit}, 
+      author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Enrique Yalta Soplin and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
+      year={2018},
+      eprint={1804.00015},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```

exp/asr_train_asr_transformer_raw_char/RESULTS.md

@@ -0,0 +1,37 @@
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Thu Aug 27 09:50:23 JST 2020`
+- python version: `3.7.3 (default, Mar 27 2019, 22:11:17)  [GCC 7.3.0]`
+- espnet version: `espnet 0.9.0`
+- pytorch version: `pytorch 1.6.0`
+- Git hash: `4b040785069f114fe046ffa9acdd8698fdeb7f21`
+  - Commit date: `Tue Aug 25 17:46:25 2020 +0900`
+
+## asr_train_asr_transformer_raw_char
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|inference_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.3|5.9|0.8|0.8|7.5|58.1|
+|inference_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.8|4.0|0.3|0.7|5.0|44.7|
+|inference_lm_lm_train_lm_char_optimadam_optim_conflr0.0005_lm_confnlayers4_keep_nbest_models235810_batch_size512_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|93.2|5.9|0.8|0.9|7.6|59.0|
+|inference_lm_lm_train_lm_char_optimadam_optim_conflr0.0005_lm_confnlayers4_keep_nbest_models235810_batch_size512_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|95.8|4.0|0.2|0.7|4.9|45.6|
+|inference_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.best_asr_model_valid.acc.best/test_dev93|503|8234|92.3|6.8|1.0|1.0|8.8|62.2|
+|inference_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.best_asr_model_valid.acc.best/test_eval92|333|5643|94.8|4.8|0.5|0.9|6.1|48.6|
+|inference_lm_train_lm_char_valid.loss.best_asr_model_valid.acc.best/test_dev93|503|8234|80.9|17.4|1.7|2.6|21.7|90.7|
+|inference_lm_train_lm_char_valid.loss.best_asr_model_valid.acc.best/test_eval92|333|5643|84.3|14.6|1.1|2.4|18.1|86.8|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|inference_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|48634|97.6|1.1|1.3|0.6|3.0|62.8|
+|inference_lm_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|33341|98.5|0.7|0.8|0.5|2.0|53.2|
+|inference_lm_lm_train_lm_char_optimadam_optim_conflr0.0005_lm_confnlayers4_keep_nbest_models235810_batch_size512_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|48634|97.5|1.2|1.3|0.5|3.1|63.6|
+|inference_lm_lm_train_lm_char_optimadam_optim_conflr0.0005_lm_confnlayers4_keep_nbest_models235810_batch_size512_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|33341|98.5|0.7|0.8|0.5|2.0|53.2|
+|inference_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.best_asr_model_valid.acc.best/test_dev93|503|48634|97.0|1.4|1.6|0.7|3.6|67.2|
+|inference_lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4_valid.loss.best_asr_model_valid.acc.best/test_eval92|333|33341|98.0|0.9|1.0|0.5|2.5|56.8|
+|inference_lm_train_lm_char_valid.loss.best_asr_model_valid.acc.best/test_dev93|503|48634|94.4|2.8|2.9|1.5|7.1|91.3|
+|inference_lm_train_lm_char_valid.loss.best_asr_model_valid.acc.best/test_eval92|333|33341|95.6|2.2|2.1|1.3|5.7|88.9|
+

exp/asr_train_asr_transformer_raw_char/config.yaml

@@ -0,0 +1,207 @@
+config: conf/train_asr_transformer.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/asr_train_asr_transformer_raw_char
+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
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: false
+write_collected_feats: false
+max_epoch: 100
+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_noise: false
+accum_grad: 8
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: false
+log_interval: null
+pretrain_path: []
+pretrain_key: []
+num_iters_per_epoch: null
+batch_size: 32
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw/train/speech_shape
+- exp/asr_stats_raw/train/text_shape.char
+valid_shape_file:
+- exp/asr_stats_raw/valid/speech_shape
+- exp/asr_stats_raw/valid/text_shape.char
+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_si284/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train_si284/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/test_dev93/wav.scp
+    - speech
+    - sound
+-   - dump/raw/test_dev93/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.005
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 30000
+token_list:
+- <blank>
+- <unk>
+- <space>
+- E
+- T
+- A
+- N
+- I
+- O
+- S
+- R
+- H
+- L
+- D
+- C
+- U
+- M
+- P
+- F
+- G
+- Y
+- W
+- B
+- V
+- K
+- .
+- X
+- ''''
+- J
+- Q
+- Z
+- <NOISE>
+- ','
+- '-'
+- '"'
+- '*'
+- ':'
+- (
+- )
+- '?'
+- '!'
+- '&'
+- ;
+- '1'
+- '2'
+- '0'
+- /
+- $
+- '{'
+- '}'
+- '8'
+- '9'
+- '6'
+- '3'
+- '5'
+- '7'
+- '4'
+- '~'
+- '`'
+- _
+- <*IN*>
+- <*MR.*>
+- \
+- ^
+- <sos/eos>
+init: xavier_uniform
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+model_conf:
+    ctc_weight: 0.3
+    lsm_weight: 0.1
+    length_normalized_loss: false
+use_preprocessor: true
+token_type: char
+bpemodel: null
+non_linguistic_symbols: data/nlsyms.txt
+cleaner: null
+g2p: null
+frontend: default
+frontend_conf:
+    fs: 16k
+specaug: null
+specaug_conf: {}
+normalize: global_mvn
+normalize_conf:
+    stats_file: exp/asr_stats_raw/train/feats_stats.npz
+encoder: transformer
+encoder_conf:
+    output_size: 256
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 12
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    attention_dropout_rate: 0.0
+    input_layer: conv2d
+    normalize_before: true
+decoder: transformer
+decoder_conf:
+    attention_heads: 4
+    linear_units: 2048
+    num_blocks: 6
+    dropout_rate: 0.1
+    positional_dropout_rate: 0.1
+    self_attention_dropout_rate: 0.0
+    src_attention_dropout_rate: 0.0
+required:
+- output_dir
+- token_list
+distributed: false

exp/asr_train_asr_transformer_raw_char/valid.acc.ave_10best.pth

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exp/lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4/40epoch.pth

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exp/lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4/config.yaml

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+config: conf/train_lm.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: sequence
+output_dir: exp/lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4
+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
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+multiprocessing_distributed: false
+cudnn_enabled: true
+cudnn_benchmark: false
+cudnn_deterministic: true
+collect_stats: false
+write_collected_feats: false
+max_epoch: 40
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - loss
+    - min
+keep_nbest_models: 1
+grad_clip: 5.0
+grad_noise: false
+accum_grad: 1
+no_forward_run: false
+resume: true
+train_dtype: float32
+use_amp: false
+log_interval: null
+pretrain_path: []
+pretrain_key: []
+num_iters_per_epoch: null
+batch_size: 512
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/lm_stats/train/text_shape.char
+valid_shape_file:
+- exp/lm_stats/valid/text_shape.char
+batch_type: folded
+valid_batch_type: null
+fold_length:
+- 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/srctexts
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/test_dev93/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0005
+scheduler: null
+scheduler_conf: {}
+token_list:
+- <blank>
+- <unk>
+- <space>
+- E
+- T
+- A
+- N
+- I
+- O
+- S
+- R
+- H
+- L
+- D
+- C
+- U
+- M
+- P
+- F
+- G
+- Y
+- W
+- B
+- V
+- K
+- .
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+- '4'
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+- <*MR.*>
+- \
+- ^
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+init: null
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+    nlayers: 4
+required:
+- output_dir
+- token_list
+distributed: false

exp/lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4/perplexity_test/ppl

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meta.yaml

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+espnet: 0.9.0
+files:
+  asr_model_file: exp/asr_train_asr_transformer_raw_char/valid.acc.ave_10best.pth
+  lm_file: exp/lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4/40epoch.pth
+python: "3.7.3 (default, Mar 27 2019, 22:11:17) \n[GCC 7.3.0]"
+timestamp: 1598508133.366529
+torch: 1.6.0
+yaml_files:
+  asr_train_config: exp/asr_train_asr_transformer_raw_char/config.yaml
+  lm_train_config: exp/lm_train_lm_char_optimadam_batch_size512_optim_conflr0.0005_lm_confnlayers4/config.yaml