Update model

README.md

@@ -0,0 +1,390 @@
+---
+tags:
+- espnet
+- audio
+- automatic-speech-recognition
+language: quy
+datasets:
+- americasnlp22
+license: cc-by-4.0
+---
+
+## ESPnet2 ASR model 
+
+### `espnet/americasnlp22-asr-quy`
+
+This model was trained by Pavel Denisov using americasnlp22 recipe in [espnet](https://github.com/espnet/espnet/).
+
+### Demo: How to use in ESPnet2
+
+```bash
+cd espnet
+git checkout fc62b1ce3e50c5ef8a2ac8cedb0d92ac41df54ca
+pip install -e .
+cd egs2/americasnlp22/asr1
+./run.sh --skip_data_prep false --skip_train true --download_model espnet/americasnlp22-asr-quy
+```
+
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Sun Jun  5 04:51:42 CEST 2022`
+- python version: `3.9.13 (main, May 18 2022, 00:00:00)  [GCC 11.3.1 20220421 (Red Hat 11.3.1-2)]`
+- espnet version: `espnet 202204`
+- pytorch version: `pytorch 1.11.0+cu115`
+- Git hash: `d55704daa36d3dd2ca24ae3162ac40d81957208c`
+  - Commit date: `Wed Jun 1 02:33:09 2022 +0200`
+
+## asr_train_asr_transformer_raw_quy_bpe100_sp
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_asr_model_valid.cer_ctc.best/dev_quy|250|11465|18.7|67.0|14.3|4.3|85.6|100.0|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_asr_model_valid.cer_ctc.best/dev_quy|250|95334|78.6|8.0|13.4|10.1|31.5|100.0|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_asr_model_valid.cer_ctc.best/dev_quy|250|51740|64.7|18.6|16.7|9.7|45.0|100.0|
+
+## ASR config
+
+<details><summary>expand</summary>
+
+```
+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_quy_bpe100_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: 15
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - cer_ctc
+    - min
+keep_nbest_models: 1
+nbest_averaging_interval: 0
+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_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.model.feature_extractor
+- frontend.upstream.model.encoder.layers.0
+- frontend.upstream.model.encoder.layers.1
+- frontend.upstream.model.encoder.layers.2
+- frontend.upstream.model.encoder.layers.3
+- frontend.upstream.model.encoder.layers.4
+- frontend.upstream.model.encoder.layers.5
+- frontend.upstream.model.encoder.layers.6
+- frontend.upstream.model.encoder.layers.7
+- frontend.upstream.model.encoder.layers.8
+- frontend.upstream.model.encoder.layers.9
+- frontend.upstream.model.encoder.layers.10
+- frontend.upstream.model.encoder.layers.11
+- frontend.upstream.model.encoder.layers.12
+- frontend.upstream.model.encoder.layers.13
+- frontend.upstream.model.encoder.layers.14
+- frontend.upstream.model.encoder.layers.15
+- frontend.upstream.model.encoder.layers.16
+- frontend.upstream.model.encoder.layers.17
+- frontend.upstream.model.encoder.layers.18
+- frontend.upstream.model.encoder.layers.19
+- frontend.upstream.model.encoder.layers.20
+- frontend.upstream.model.encoder.layers.21
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 200000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_quy_bpe100_sp/train/speech_shape
+- exp/asr_stats_raw_quy_bpe100_sp/train/text_shape.bpe
+valid_shape_file:
+- exp/asr_stats_raw_quy_bpe100_sp/valid/speech_shape
+- exp/asr_stats_raw_quy_bpe100_sp/valid/text_shape.bpe
+batch_type: numel
+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_quy_sp/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train_quy_sp/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/dev_quy/wav.scp
+    - speech
+    - sound
+-   - dump/raw/dev_quy/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adamw
+optim_conf:
+    lr: 0.0001
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 300
+token_list:
+- <blank>
+- <unk>
+- ���
+- a
+- n
+- y
+- u
+- qa
+- s
+- ta
+- q
+- ri
+- ku
+- i
+- kuna
+- r
+- m
+- e
+- cha
+- pi
+- pa
+- o
+- lla
+- na
+- ▁kay
+- ▁ka
+- ▁chay
+- c
+- chu
+- ki
+- ▁wa
+- ña
+- w
+- ▁pa
+- ra
+- si
+- man
+- pas
+- sqa
+- l
+- tu
+- nku
+- ▁ma
+- yku
+- taq
+- ▁a
+- ▁ima
+- d
+- ti
+- chi
+- manta
+- ya
+- ka
+- mi
+- h
+- p
+- wan
+- nchik
+- ll
+- chkan
+- spa
+- ▁ha
+- ▁ni
+- pu
+- yta
+- chik
+- mun
+- ni
+- paq
+- sun
+- ▁mana
+- ▁wi
+- k
+- ▁allin
+- ▁ancha
+- ▁hina
+- rí
+- ▁punchaw
+- ▁yacha
+- ▁llaqta
+- ñ
+- ynin
+- ▁rima
+- b
+- ▁huk
+- skan
+- ''''
+- g
+- j
+- z
+- á
+- ó
+- í
+- ú
+- f
+- v
+- t
+- x
+- é
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+joint_net_conf: null
+use_preprocessor: true
+token_type: bpe
+bpemodel: data/quy_token_list/bpe_unigram100/bpe.model
+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: s3prl
+frontend_conf:
+    frontend_conf:
+        upstream: wav2vec2_url
+        upstream_ckpt: https://dl.fbaipublicfiles.com/fairseq/wav2vec/xlsr2_300m.pt
+    download_dir: ./hub
+    multilayer_feature: true
+    fs: 16k
+specaug: null
+specaug_conf: {}
+normalize: utterance_mvn
+normalize_conf: {}
+model: espnet
+model_conf:
+    ctc_weight: 1.0
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    extract_feats_in_collect_stats: false
+preencoder: linear
+preencoder_conf:
+    input_size: 1024
+    output_size: 80
+encoder: transformer
+encoder_conf:
+    input_layer: conv2d2
+    num_blocks: 1
+    linear_units: 2048
+    dropout_rate: 0.2
+    output_size: 256
+    attention_heads: 8
+    attention_dropout_rate: 0.2
+postencoder: null
+postencoder_conf: {}
+decoder: rnn
+decoder_conf: {}
+required:
+- output_dir
+- token_list
+version: '202204'
+distributed: false
+```
+
+</details>
+
+
+
+### 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 Yalta 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}
+}
+
+
+
+
+```
+
+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 Yalta 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}
+}
+```

data/quy_token_list/bpe_unigram100/bpe.model

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c6e87d2963ad556948dd32561ea08e7c84e2edaf9dba81f022e3e51be5b53d64
+size 238890

exp/asr_train_asr_transformer_raw_quy_bpe100_sp/3epoch.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de5dfd081bbb1fb2d2c4e3c240a6d44f7f6c6e7e887dc23659cca40406aa8bb3
+size 1287519213

exp/asr_train_asr_transformer_raw_quy_bpe100_sp/RESULTS.md

@@ -0,0 +1,29 @@
+<!-- Generated by scripts/utils/show_asr_result.sh -->
+# RESULTS
+## Environments
+- date: `Sun Jun  5 04:51:42 CEST 2022`
+- python version: `3.9.13 (main, May 18 2022, 00:00:00)  [GCC 11.3.1 20220421 (Red Hat 11.3.1-2)]`
+- espnet version: `espnet 202204`
+- pytorch version: `pytorch 1.11.0+cu115`
+- Git hash: `d55704daa36d3dd2ca24ae3162ac40d81957208c`
+  - Commit date: `Wed Jun 1 02:33:09 2022 +0200`
+
+## asr_train_asr_transformer_raw_quy_bpe100_sp
+### WER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_asr_model_valid.cer_ctc.best/dev_quy|250|11465|18.7|67.0|14.3|4.3|85.6|100.0|
+
+### CER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_asr_model_valid.cer_ctc.best/dev_quy|250|95334|78.6|8.0|13.4|10.1|31.5|100.0|
+
+### TER
+
+|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
+|---|---|---|---|---|---|---|---|---|
+|decode_asr_asr_model_valid.cer_ctc.best/dev_quy|250|51740|64.7|18.6|16.7|9.7|45.0|100.0|
+

exp/asr_train_asr_transformer_raw_quy_bpe100_sp/config.yaml

@@ -0,0 +1,293 @@
+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_quy_bpe100_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: 15
+patience: null
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - cer_ctc
+    - min
+keep_nbest_models: 1
+nbest_averaging_interval: 0
+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_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.model.feature_extractor
+- frontend.upstream.model.encoder.layers.0
+- frontend.upstream.model.encoder.layers.1
+- frontend.upstream.model.encoder.layers.2
+- frontend.upstream.model.encoder.layers.3
+- frontend.upstream.model.encoder.layers.4
+- frontend.upstream.model.encoder.layers.5
+- frontend.upstream.model.encoder.layers.6
+- frontend.upstream.model.encoder.layers.7
+- frontend.upstream.model.encoder.layers.8
+- frontend.upstream.model.encoder.layers.9
+- frontend.upstream.model.encoder.layers.10
+- frontend.upstream.model.encoder.layers.11
+- frontend.upstream.model.encoder.layers.12
+- frontend.upstream.model.encoder.layers.13
+- frontend.upstream.model.encoder.layers.14
+- frontend.upstream.model.encoder.layers.15
+- frontend.upstream.model.encoder.layers.16
+- frontend.upstream.model.encoder.layers.17
+- frontend.upstream.model.encoder.layers.18
+- frontend.upstream.model.encoder.layers.19
+- frontend.upstream.model.encoder.layers.20
+- frontend.upstream.model.encoder.layers.21
+num_iters_per_epoch: null
+batch_size: 20
+valid_batch_size: null
+batch_bins: 200000
+valid_batch_bins: null
+train_shape_file:
+- exp/asr_stats_raw_quy_bpe100_sp/train/speech_shape
+- exp/asr_stats_raw_quy_bpe100_sp/train/text_shape.bpe
+valid_shape_file:
+- exp/asr_stats_raw_quy_bpe100_sp/valid/speech_shape
+- exp/asr_stats_raw_quy_bpe100_sp/valid/text_shape.bpe
+batch_type: numel
+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_quy_sp/wav.scp
+    - speech
+    - sound
+-   - dump/raw/train_quy_sp/text
+    - text
+    - text
+valid_data_path_and_name_and_type:
+-   - dump/raw/dev_quy/wav.scp
+    - speech
+    - sound
+-   - dump/raw/dev_quy/text
+    - text
+    - text
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adamw
+optim_conf:
+    lr: 0.0001
+scheduler: warmuplr
+scheduler_conf:
+    warmup_steps: 300
+token_list:
+- <blank>
+- <unk>
+- ▁
+- a
+- n
+- y
+- u
+- qa
+- s
+- ta
+- q
+- ri
+- ku
+- i
+- kuna
+- r
+- m
+- e
+- cha
+- pi
+- pa
+- o
+- lla
+- na
+- ▁kay
+- ▁ka
+- ▁chay
+- c
+- chu
+- ki
+- ▁wa
+- ña
+- w
+- ▁pa
+- ra
+- si
+- man
+- pas
+- sqa
+- l
+- tu
+- nku
+- ▁ma
+- yku
+- taq
+- ▁a
+- ▁ima
+- d
+- ti
+- chi
+- manta
+- ya
+- ka
+- mi
+- h
+- p
+- wan
+- nchik
+- ll
+- chkan
+- spa
+- ▁ha
+- ▁ni
+- pu
+- yta
+- chik
+- mun
+- ni
+- paq
+- sun
+- ▁mana
+- ▁wi
+- k
+- ▁allin
+- ▁ancha
+- ▁hina
+- rí
+- ▁punchaw
+- ▁yacha
+- ▁llaqta
+- ñ
+- ynin
+- ▁rima
+- b
+- ▁huk
+- skan
+- ''''
+- g
+- j
+- z
+- á
+- ó
+- í
+- ú
+- f
+- v
+- t
+- x
+- é
+- <sos/eos>
+init: null
+input_size: null
+ctc_conf:
+    dropout_rate: 0.0
+    ctc_type: builtin
+    reduce: true
+    ignore_nan_grad: true
+joint_net_conf: null
+use_preprocessor: true
+token_type: bpe
+bpemodel: data/quy_token_list/bpe_unigram100/bpe.model
+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: s3prl
+frontend_conf:
+    frontend_conf:
+        upstream: wav2vec2_url
+        upstream_ckpt: https://dl.fbaipublicfiles.com/fairseq/wav2vec/xlsr2_300m.pt
+    download_dir: ./hub
+    multilayer_feature: true
+    fs: 16k
+specaug: null
+specaug_conf: {}
+normalize: utterance_mvn
+normalize_conf: {}
+model: espnet
+model_conf:
+    ctc_weight: 1.0
+    lsm_weight: 0.0
+    length_normalized_loss: false
+    extract_feats_in_collect_stats: false
+preencoder: linear
+preencoder_conf:
+    input_size: 1024
+    output_size: 80
+encoder: transformer
+encoder_conf:
+    input_layer: conv2d2
+    num_blocks: 1
+    linear_units: 2048
+    dropout_rate: 0.2
+    output_size: 256
+    attention_heads: 8
+    attention_dropout_rate: 0.2
+postencoder: null
+postencoder_conf: {}
+decoder: rnn
+decoder_conf: {}
+required:
+- output_dir
+- token_list
+version: '202204'
+distributed: false

meta.yaml

@@ -0,0 +1,8 @@
+espnet: '202205'
+files:
+  asr_model_file: exp/asr_train_asr_transformer_raw_quy_bpe100_sp/3epoch.pth
+python: "3.9.13 (main, May 18 2022, 00:00:00) \n[GCC 11.3.1 20220421 (Red Hat 11.3.1-2)]"
+timestamp: 1655141007.300776
+torch: 1.11.0+cu115
+yaml_files:
+  asr_train_config: exp/asr_train_asr_transformer_raw_quy_bpe100_sp/config.yaml