Update model
Browse files- README.md +779 -0
- data/token_list/bpe_unigram500/bpe.model +3 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/45epoch.pth +3 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/RESULTS.md +29 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/config.yaml +682 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/acc.png +0 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/backward_time.png +0 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/cer.png +0 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/cer_ctc.png +0 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/forward_time.png +0 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/gpu_max_cached_mem_GB.png +0 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/iter_time.png +0 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/loss.png +0 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/loss_att.png +0 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/loss_ctc.png +0 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/optim0_lr0.png +0 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/optim_step_time.png +0 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/train_time.png +0 -0
- exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/wer.png +0 -0
- meta.yaml +8 -0
README.md
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1 |
+
---
|
2 |
+
tags:
|
3 |
+
- espnet
|
4 |
+
- audio
|
5 |
+
- automatic-speech-recognition
|
6 |
+
language: noinfo
|
7 |
+
datasets:
|
8 |
+
- puebla_nahuatl
|
9 |
+
license: cc-by-4.0
|
10 |
+
---
|
11 |
+
|
12 |
+
## ESPnet2 ASR model
|
13 |
+
|
14 |
+
### `espnet/ftshijt_espnet2_asr_puebla_nahuatl_transfer`
|
15 |
+
|
16 |
+
This model was trained by ftshijt using puebla_nahuatl recipe in [espnet](https://github.com/espnet/espnet/).
|
17 |
+
|
18 |
+
### Demo: How to use in ESPnet2
|
19 |
+
|
20 |
+
```bash
|
21 |
+
cd espnet
|
22 |
+
|
23 |
+
pip install -e .
|
24 |
+
cd els/puebla_nahuatl/asr1
|
25 |
+
./run.sh --skip_data_prep false --skip_train true --download_model espnet/ftshijt_espnet2_asr_puebla_nahuatl_transfer
|
26 |
+
```
|
27 |
+
|
28 |
+
<!-- Generated by scripts/utils/show_asr_result.sh -->
|
29 |
+
# RESULTS
|
30 |
+
## Environments
|
31 |
+
- date: `Sun Nov 7 18:16:55 EST 2021`
|
32 |
+
- python version: `3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]`
|
33 |
+
- espnet version: `espnet 0.10.4a1`
|
34 |
+
- pytorch version: `pytorch 1.9.0`
|
35 |
+
- Git hash: ``
|
36 |
+
- Commit date: ``
|
37 |
+
|
38 |
+
## asr_train_asr_transformer_hubert_raw_bpe500_sp
|
39 |
+
### WER
|
40 |
+
|
41 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
42 |
+
|---|---|---|---|---|---|---|---|---|
|
43 |
+
|decode_asr_lm_lm_train_bpe500_valid.loss.ave_asr_model_valid.acc.best/test|10576|90532|77.0|17.0|6.0|3.6|26.6|74.0|
|
44 |
+
|
45 |
+
### CER
|
46 |
+
|
47 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
48 |
+
|---|---|---|---|---|---|---|---|---|
|
49 |
+
|decode_asr_lm_lm_train_bpe500_valid.loss.ave_asr_model_valid.acc.best/test|10576|590273|92.2|2.1|5.7|3.0|10.8|74.0|
|
50 |
+
|
51 |
+
### TER
|
52 |
+
|
53 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
54 |
+
|---|---|---|---|---|---|---|---|---|
|
55 |
+
|decode_asr_lm_lm_train_bpe500_valid.loss.ave_asr_model_valid.acc.best/test|10576|242435|86.0|7.3|6.8|3.5|17.5|74.0|
|
56 |
+
|
57 |
+
## ASR config
|
58 |
+
|
59 |
+
<details><summary>expand</summary>
|
60 |
+
|
61 |
+
```
|
62 |
+
config: conf/tuning/train_asr_transformer_hubert.yaml
|
63 |
+
print_config: false
|
64 |
+
log_level: INFO
|
65 |
+
dry_run: false
|
66 |
+
iterator_type: sequence
|
67 |
+
output_dir: exp/asr_train_asr_transformer_hubert_raw_bpe500_sp
|
68 |
+
ngpu: 1
|
69 |
+
seed: 0
|
70 |
+
num_workers: 1
|
71 |
+
num_att_plot: 3
|
72 |
+
dist_backend: nccl
|
73 |
+
dist_init_method: env://
|
74 |
+
dist_world_size: null
|
75 |
+
dist_rank: null
|
76 |
+
local_rank: 0
|
77 |
+
dist_master_addr: null
|
78 |
+
dist_master_port: null
|
79 |
+
dist_launcher: null
|
80 |
+
multiprocessing_distributed: false
|
81 |
+
unused_parameters: false
|
82 |
+
sharded_ddp: false
|
83 |
+
cudnn_enabled: true
|
84 |
+
cudnn_benchmark: false
|
85 |
+
cudnn_deterministic: true
|
86 |
+
collect_stats: false
|
87 |
+
write_collected_feats: false
|
88 |
+
max_epoch: 100
|
89 |
+
patience: 15
|
90 |
+
val_scheduler_criterion:
|
91 |
+
- valid
|
92 |
+
- loss
|
93 |
+
early_stopping_criterion:
|
94 |
+
- valid
|
95 |
+
- loss
|
96 |
+
- min
|
97 |
+
best_model_criterion:
|
98 |
+
- - valid
|
99 |
+
- acc
|
100 |
+
- max
|
101 |
+
keep_nbest_models: 10
|
102 |
+
grad_clip: 5
|
103 |
+
grad_clip_type: 2.0
|
104 |
+
grad_noise: false
|
105 |
+
accum_grad: 2
|
106 |
+
no_forward_run: false
|
107 |
+
resume: true
|
108 |
+
train_dtype: float32
|
109 |
+
use_amp: false
|
110 |
+
log_interval: null
|
111 |
+
use_tensorboard: true
|
112 |
+
use_wandb: false
|
113 |
+
wandb_project: null
|
114 |
+
wandb_id: null
|
115 |
+
wandb_entity: null
|
116 |
+
wandb_name: null
|
117 |
+
wandb_model_log_interval: -1
|
118 |
+
detect_anomaly: false
|
119 |
+
pretrain_path: null
|
120 |
+
init_param: []
|
121 |
+
ignore_init_mismatch: false
|
122 |
+
freeze_param: []
|
123 |
+
num_iters_per_epoch: null
|
124 |
+
batch_size: 32
|
125 |
+
valid_batch_size: null
|
126 |
+
batch_bins: 1000000
|
127 |
+
valid_batch_bins: null
|
128 |
+
train_shape_file:
|
129 |
+
- exp/asr_stats_raw_bpe500_sp/train/speech_shape
|
130 |
+
- exp/asr_stats_raw_bpe500_sp/train/text_shape.bpe
|
131 |
+
valid_shape_file:
|
132 |
+
- exp/asr_stats_raw_bpe500_sp/valid/speech_shape
|
133 |
+
- exp/asr_stats_raw_bpe500_sp/valid/text_shape.bpe
|
134 |
+
batch_type: folded
|
135 |
+
valid_batch_type: null
|
136 |
+
fold_length:
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valid_data_path_and_name_and_type:
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lr: 1.0
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- ▁KOMEKAT
|
630 |
+
- TIOWIH
|
631 |
+
- ▁TIMONOHNO
|
632 |
+
- ▁TIEMPO
|
633 |
+
- WEHKA
|
634 |
+
- QUI
|
635 |
+
- ▁TIHTI
|
636 |
+
- ▁XOXOKTIK
|
637 |
+
- ▁TAXKAL
|
638 |
+
- EHE
|
639 |
+
- ▁AJÁ
|
640 |
+
- NANAKAT
|
641 |
+
- NIWKI
|
642 |
+
- ▁CI
|
643 |
+
- ▁ITSMOL
|
644 |
+
- ▁NIKPIA
|
645 |
+
- TEKPA
|
646 |
+
- ▁BO
|
647 |
+
- ▁TASOHKA
|
648 |
+
- Ú
|
649 |
+
- ¡
|
650 |
+
- '8'
|
651 |
+
- '9'
|
652 |
+
- '0'
|
653 |
+
- '1'
|
654 |
+
- '2'
|
655 |
+
- ¿
|
656 |
+
- Ò
|
657 |
+
- '4'
|
658 |
+
- À
|
659 |
+
- '7'
|
660 |
+
- '5'
|
661 |
+
- '3'
|
662 |
+
- ́
|
663 |
+
- V
|
664 |
+
- ̈
|
665 |
+
- Ï
|
666 |
+
- '6'
|
667 |
+
- Q
|
668 |
+
- Ì
|
669 |
+
- <sos/eos>
|
670 |
+
init: xavier_uniform
|
671 |
+
input_size: null
|
672 |
+
ctc_conf:
|
673 |
+
dropout_rate: 0.0
|
674 |
+
ctc_type: builtin
|
675 |
+
reduce: true
|
676 |
+
ignore_nan_grad: true
|
677 |
+
model_conf:
|
678 |
+
ctc_weight: 0.3
|
679 |
+
lsm_weight: 0.1
|
680 |
+
length_normalized_loss: false
|
681 |
+
extract_feats_in_collect_stats: false
|
682 |
+
use_preprocessor: true
|
683 |
+
token_type: bpe
|
684 |
+
bpemodel: data/token_list/bpe_unigram500/bpe.model
|
685 |
+
non_linguistic_symbols: null
|
686 |
+
cleaner: null
|
687 |
+
g2p: null
|
688 |
+
speech_volume_normalize: null
|
689 |
+
rir_scp: null
|
690 |
+
rir_apply_prob: 1.0
|
691 |
+
noise_scp: null
|
692 |
+
noise_apply_prob: 1.0
|
693 |
+
noise_db_range: '13_15'
|
694 |
+
frontend: s3prl
|
695 |
+
frontend_conf:
|
696 |
+
frontend_conf:
|
697 |
+
upstream: hubert_large_ll60k
|
698 |
+
download_dir: ./hub
|
699 |
+
multilayer_feature: true
|
700 |
+
fs: 16k
|
701 |
+
specaug: specaug
|
702 |
+
specaug_conf:
|
703 |
+
apply_time_warp: true
|
704 |
+
time_warp_window: 5
|
705 |
+
time_warp_mode: bicubic
|
706 |
+
apply_freq_mask: true
|
707 |
+
freq_mask_width_range:
|
708 |
+
- 0
|
709 |
+
- 30
|
710 |
+
num_freq_mask: 2
|
711 |
+
apply_time_mask: true
|
712 |
+
time_mask_width_range:
|
713 |
+
- 0
|
714 |
+
- 40
|
715 |
+
num_time_mask: 2
|
716 |
+
normalize: utterance_mvn
|
717 |
+
normalize_conf: {}
|
718 |
+
preencoder: linear
|
719 |
+
preencoder_conf:
|
720 |
+
input_size: 1024
|
721 |
+
output_size: 80
|
722 |
+
encoder: transformer
|
723 |
+
encoder_conf:
|
724 |
+
input_layer: conv2d
|
725 |
+
num_blocks: 12
|
726 |
+
linear_units: 2048
|
727 |
+
dropout_rate: 0.1
|
728 |
+
output_size: 256
|
729 |
+
attention_heads: 4
|
730 |
+
attention_dropout_rate: 0.0
|
731 |
+
postencoder: null
|
732 |
+
postencoder_conf: {}
|
733 |
+
decoder: transformer
|
734 |
+
decoder_conf:
|
735 |
+
input_layer: embed
|
736 |
+
num_blocks: 6
|
737 |
+
linear_units: 2048
|
738 |
+
dropout_rate: 0.1
|
739 |
+
required:
|
740 |
+
- output_dir
|
741 |
+
- token_list
|
742 |
+
version: 0.10.4a1
|
743 |
+
distributed: false
|
744 |
+
```
|
745 |
+
|
746 |
+
</details>
|
747 |
+
|
748 |
+
|
749 |
+
|
750 |
+
### Citing ESPnet
|
751 |
+
|
752 |
+
```BibTex
|
753 |
+
@inproceedings{watanabe2018espnet,
|
754 |
+
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},
|
755 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
756 |
+
year={2018},
|
757 |
+
booktitle={Proceedings of Interspeech},
|
758 |
+
pages={2207--2211},
|
759 |
+
doi={10.21437/Interspeech.2018-1456},
|
760 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
761 |
+
}
|
762 |
+
|
763 |
+
|
764 |
+
|
765 |
+
|
766 |
+
```
|
767 |
+
|
768 |
+
or arXiv:
|
769 |
+
|
770 |
+
```bibtex
|
771 |
+
@misc{watanabe2018espnet,
|
772 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
773 |
+
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},
|
774 |
+
year={2018},
|
775 |
+
eprint={1804.00015},
|
776 |
+
archivePrefix={arXiv},
|
777 |
+
primaryClass={cs.CL}
|
778 |
+
}
|
779 |
+
```
|
data/token_list/bpe_unigram500/bpe.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0893a480fca4e0819a0b05b7a73aaa67489c61ae65f7ad59042d00824ce865af
|
3 |
+
size 244843
|
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/45epoch.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:71688cbfa4549dd3dbf4d776c4241ba3b14cacaff916d6d852d9880147a7b02e
|
3 |
+
size 1376993057
|
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/RESULTS.md
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
|
1 |
+
<!-- Generated by scripts/utils/show_asr_result.sh -->
|
2 |
+
# RESULTS
|
3 |
+
## Environments
|
4 |
+
- date: `Sun Nov 7 18:16:55 EST 2021`
|
5 |
+
- python version: `3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]`
|
6 |
+
- espnet version: `espnet 0.10.4a1`
|
7 |
+
- pytorch version: `pytorch 1.9.0`
|
8 |
+
- Git hash: ``
|
9 |
+
- Commit date: ``
|
10 |
+
|
11 |
+
## asr_train_asr_transformer_hubert_raw_bpe500_sp
|
12 |
+
### WER
|
13 |
+
|
14 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
15 |
+
|---|---|---|---|---|---|---|---|---|
|
16 |
+
|decode_asr_lm_lm_train_bpe500_valid.loss.ave_asr_model_valid.acc.best/test|10576|90532|77.0|17.0|6.0|3.6|26.6|74.0|
|
17 |
+
|
18 |
+
### CER
|
19 |
+
|
20 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
21 |
+
|---|---|---|---|---|---|---|---|---|
|
22 |
+
|decode_asr_lm_lm_train_bpe500_valid.loss.ave_asr_model_valid.acc.best/test|10576|590273|92.2|2.1|5.7|3.0|10.8|74.0|
|
23 |
+
|
24 |
+
### TER
|
25 |
+
|
26 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
27 |
+
|---|---|---|---|---|---|---|---|---|
|
28 |
+
|decode_asr_lm_lm_train_bpe500_valid.loss.ave_asr_model_valid.acc.best/test|10576|242435|86.0|7.3|6.8|3.5|17.5|74.0|
|
29 |
+
|
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/config.yaml
ADDED
@@ -0,0 +1,682 @@
|
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|
1 |
+
config: conf/tuning/train_asr_transformer_hubert.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
dry_run: false
|
5 |
+
iterator_type: sequence
|
6 |
+
output_dir: exp/asr_train_asr_transformer_hubert_raw_bpe500_sp
|
7 |
+
ngpu: 1
|
8 |
+
seed: 0
|
9 |
+
num_workers: 1
|
10 |
+
num_att_plot: 3
|
11 |
+
dist_backend: nccl
|
12 |
+
dist_init_method: env://
|
13 |
+
dist_world_size: null
|
14 |
+
dist_rank: null
|
15 |
+
local_rank: 0
|
16 |
+
dist_master_addr: null
|
17 |
+
dist_master_port: null
|
18 |
+
dist_launcher: null
|
19 |
+
multiprocessing_distributed: false
|
20 |
+
unused_parameters: false
|
21 |
+
sharded_ddp: false
|
22 |
+
cudnn_enabled: true
|
23 |
+
cudnn_benchmark: false
|
24 |
+
cudnn_deterministic: true
|
25 |
+
collect_stats: false
|
26 |
+
write_collected_feats: false
|
27 |
+
max_epoch: 100
|
28 |
+
patience: 15
|
29 |
+
val_scheduler_criterion:
|
30 |
+
- valid
|
31 |
+
- loss
|
32 |
+
early_stopping_criterion:
|
33 |
+
- valid
|
34 |
+
- loss
|
35 |
+
- min
|
36 |
+
best_model_criterion:
|
37 |
+
- - valid
|
38 |
+
- acc
|
39 |
+
- max
|
40 |
+
keep_nbest_models: 10
|
41 |
+
grad_clip: 5
|
42 |
+
grad_clip_type: 2.0
|
43 |
+
grad_noise: false
|
44 |
+
accum_grad: 2
|
45 |
+
no_forward_run: false
|
46 |
+
resume: true
|
47 |
+
train_dtype: float32
|
48 |
+
use_amp: false
|
49 |
+
log_interval: null
|
50 |
+
use_tensorboard: true
|
51 |
+
use_wandb: false
|
52 |
+
wandb_project: null
|
53 |
+
wandb_id: null
|
54 |
+
wandb_entity: null
|
55 |
+
wandb_name: null
|
56 |
+
wandb_model_log_interval: -1
|
57 |
+
detect_anomaly: false
|
58 |
+
pretrain_path: null
|
59 |
+
init_param: []
|
60 |
+
ignore_init_mismatch: false
|
61 |
+
freeze_param: []
|
62 |
+
num_iters_per_epoch: null
|
63 |
+
batch_size: 32
|
64 |
+
valid_batch_size: null
|
65 |
+
batch_bins: 1000000
|
66 |
+
valid_batch_bins: null
|
67 |
+
train_shape_file:
|
68 |
+
- exp/asr_stats_raw_bpe500_sp/train/speech_shape
|
69 |
+
- exp/asr_stats_raw_bpe500_sp/train/text_shape.bpe
|
70 |
+
valid_shape_file:
|
71 |
+
- exp/asr_stats_raw_bpe500_sp/valid/speech_shape
|
72 |
+
- exp/asr_stats_raw_bpe500_sp/valid/text_shape.bpe
|
73 |
+
batch_type: folded
|
74 |
+
valid_batch_type: null
|
75 |
+
fold_length:
|
76 |
+
- 80000
|
77 |
+
- 150
|
78 |
+
sort_in_batch: descending
|
79 |
+
sort_batch: descending
|
80 |
+
multiple_iterator: false
|
81 |
+
chunk_length: 500
|
82 |
+
chunk_shift_ratio: 0.5
|
83 |
+
num_cache_chunks: 1024
|
84 |
+
train_data_path_and_name_and_type:
|
85 |
+
- - /tmp/jiatong-150390.uytFFbyG/raw/train_sp/wav.scp
|
86 |
+
- speech
|
87 |
+
- kaldi_ark
|
88 |
+
- - /tmp/jiatong-150390.uytFFbyG/raw/train_sp/text
|
89 |
+
- text
|
90 |
+
- text
|
91 |
+
valid_data_path_and_name_and_type:
|
92 |
+
- - /tmp/jiatong-150390.uytFFbyG/raw/dev/wav.scp
|
93 |
+
- speech
|
94 |
+
- kaldi_ark
|
95 |
+
- - /tmp/jiatong-150390.uytFFbyG/raw/dev/text
|
96 |
+
- text
|
97 |
+
- text
|
98 |
+
allow_variable_data_keys: false
|
99 |
+
max_cache_size: 0.0
|
100 |
+
max_cache_fd: 32
|
101 |
+
valid_max_cache_size: null
|
102 |
+
optim: adam
|
103 |
+
optim_conf:
|
104 |
+
lr: 1.0
|
105 |
+
scheduler: noamlr
|
106 |
+
scheduler_conf:
|
107 |
+
warmup_steps: 25000
|
108 |
+
token_list:
|
109 |
+
- <blank>
|
110 |
+
- <unk>
|
111 |
+
- ':'
|
112 |
+
- N
|
113 |
+
- ▁A
|
114 |
+
- ▁WA
|
115 |
+
- ▁KE
|
116 |
+
- ▁YO
|
117 |
+
- ▁NE
|
118 |
+
- ▁SE
|
119 |
+
- H
|
120 |
+
- MO
|
121 |
+
- WA
|
122 |
+
- ''''
|
123 |
+
- ▁NO
|
124 |
+
- ▁I
|
125 |
+
- ▁N
|
126 |
+
- S
|
127 |
+
- ▁KI
|
128 |
+
- K
|
129 |
+
- ▁
|
130 |
+
- MAH
|
131 |
+
- KA
|
132 |
+
- TA
|
133 |
+
- L
|
134 |
+
- ▁POS
|
135 |
+
- PA
|
136 |
+
- ▁KA
|
137 |
+
- ▁TA
|
138 |
+
- ▁MO
|
139 |
+
- T
|
140 |
+
- ▁YEHWA
|
141 |
+
- I
|
142 |
+
- MEH
|
143 |
+
- ▁YA
|
144 |
+
- ▁DE
|
145 |
+
- MA
|
146 |
+
- A
|
147 |
+
- ▁TE
|
148 |
+
- TI
|
149 |
+
- TSI
|
150 |
+
- NI
|
151 |
+
- CHI
|
152 |
+
- ▁PERO
|
153 |
+
- KI
|
154 |
+
- LI
|
155 |
+
- TO
|
156 |
+
- WI
|
157 |
+
- ▁PARA
|
158 |
+
- KO
|
159 |
+
- E
|
160 |
+
- ▁O
|
161 |
+
- ▁IKA
|
162 |
+
- TE
|
163 |
+
- O
|
164 |
+
- W
|
165 |
+
- ▁NEH
|
166 |
+
- ▁NOCHI
|
167 |
+
- CH
|
168 |
+
- ▁TI
|
169 |
+
- ▁TIK
|
170 |
+
- LO
|
171 |
+
- ▁SAH
|
172 |
+
- ▁MAH
|
173 |
+
- NA
|
174 |
+
- LA
|
175 |
+
- ▁OMPA
|
176 |
+
- ▁IHKÓ
|
177 |
+
- YA
|
178 |
+
- ▁NI
|
179 |
+
- ▁PORQUE
|
180 |
+
- ▁MA
|
181 |
+
- YO
|
182 |
+
- ▁TEIN
|
183 |
+
- LIA
|
184 |
+
- ▁E
|
185 |
+
- MPA
|
186 |
+
- ▁NIKA
|
187 |
+
- X
|
188 |
+
- YAH
|
189 |
+
- ▁KWALTSI
|
190 |
+
- SA
|
191 |
+
- TSA
|
192 |
+
- ▁MOCHI
|
193 |
+
- ▁NIK
|
194 |
+
- ▁WE
|
195 |
+
- ▁TO
|
196 |
+
- TSÍ
|
197 |
+
- ▁SEMI
|
198 |
+
- ▁KITA
|
199 |
+
- WAK
|
200 |
+
- KWI
|
201 |
+
- MI
|
202 |
+
- ▁MM
|
203 |
+
- ▁XO
|
204 |
+
- ▁SEKI
|
205 |
+
- JÓ
|
206 |
+
- AH
|
207 |
+
- ▁KOMO
|
208 |
+
- R
|
209 |
+
- NE
|
210 |
+
- ▁OK
|
211 |
+
- ▁KWALI
|
212 |
+
- ▁CHI
|
213 |
+
- ▁YEH
|
214 |
+
- ▁NELI
|
215 |
+
- SE
|
216 |
+
- PO
|
217 |
+
- WAH
|
218 |
+
- PI
|
219 |
+
- ME
|
220 |
+
- KWA
|
221 |
+
- ▁PA
|
222 |
+
- ▁ONKAK
|
223 |
+
- KE
|
224 |
+
- ▁YE
|
225 |
+
- ▁T
|
226 |
+
- LTIK
|
227 |
+
- ▁TEHWA
|
228 |
+
- TAH
|
229 |
+
- ▁TIKI
|
230 |
+
- ▁QUE
|
231 |
+
- ▁NIKI
|
232 |
+
- PE
|
233 |
+
- ▁IWKI
|
234 |
+
- XI
|
235 |
+
- TOK
|
236 |
+
- ▁TAMAN
|
237 |
+
- ▁KO
|
238 |
+
- TSO
|
239 |
+
- LE
|
240 |
+
- RA
|
241 |
+
- SI
|
242 |
+
- WÍ
|
243 |
+
- MAN
|
244 |
+
- ▁TIMO
|
245 |
+
- 'NO'
|
246 |
+
- SO
|
247 |
+
- ▁MIAK
|
248 |
+
- U
|
249 |
+
- ▁TEH
|
250 |
+
- ▁KICHI
|
251 |
+
- ▁XA
|
252 |
+
- WE
|
253 |
+
- ▁KOW
|
254 |
+
- KEH
|
255 |
+
- NÍ
|
256 |
+
- LIK
|
257 |
+
- ▁ITECH
|
258 |
+
- TIH
|
259 |
+
- ▁PE
|
260 |
+
- ▁KIPIA
|
261 |
+
- ▁CUANDO
|
262 |
+
- ▁KWALTIA
|
263 |
+
- ▁HASTA
|
264 |
+
- LOWA
|
265 |
+
- ▁ENTÓ
|
266 |
+
- ▁NA
|
267 |
+
- XO
|
268 |
+
- RO
|
269 |
+
- TIA
|
270 |
+
- ▁NIKITA
|
271 |
+
- CHIHCHI
|
272 |
+
- ▁SEPA
|
273 |
+
- ▁MAHYÁ
|
274 |
+
- ▁PAHTI
|
275 |
+
- ▁K
|
276 |
+
- LIAH
|
277 |
+
- ▁SAYOH
|
278 |
+
- MATI
|
279 |
+
- ▁PI
|
280 |
+
- TS
|
281 |
+
- ▁MÁS
|
282 |
+
- XMATI
|
283 |
+
- KAH
|
284 |
+
- ▁XI
|
285 |
+
- M
|
286 |
+
- ▁ESTE
|
287 |
+
- HKO
|
288 |
+
- KOWIT
|
289 |
+
- MIKI
|
290 |
+
- CHO
|
291 |
+
- ▁TAK
|
292 |
+
- Á
|
293 |
+
- ▁KILIAH
|
294 |
+
- CHIO
|
295 |
+
- ▁KIHTOWA
|
296 |
+
- ▁KITE
|
297 |
+
- NEKI
|
298 |
+
- ▁ME
|
299 |
+
- XA
|
300 |
+
- ▁TEL
|
301 |
+
- B
|
302 |
+
- ▁KOWIT
|
303 |
+
- ▁ATA
|
304 |
+
- TIK
|
305 |
+
- ▁EKINTSI
|
306 |
+
- ▁IMA
|
307 |
+
- ▁KWA
|
308 |
+
- ▁OSO
|
309 |
+
- ▁NEHJÓ
|
310 |
+
- ▁ITEYO
|
311 |
+
- Y
|
312 |
+
- SKEH
|
313 |
+
- ▁ISTA
|
314 |
+
- ▁NIKILIA
|
315 |
+
- LIH
|
316 |
+
- ▁TIKWI
|
317 |
+
- ▁PANÉ
|
318 |
+
- KOWA
|
319 |
+
- ▁OX
|
320 |
+
- TEKI
|
321 |
+
- ▁SA
|
322 |
+
- NTE
|
323 |
+
- ▁KIKWI
|
324 |
+
- TSITSI
|
325 |
+
- NOH
|
326 |
+
- AHSI
|
327 |
+
- ▁IXO
|
328 |
+
- WIA
|
329 |
+
- LTSI
|
330 |
+
- ▁KIMA
|
331 |
+
- C
|
332 |
+
- ▁WEHWEI
|
333 |
+
- ▁TEPITSI
|
334 |
+
- ▁IHK
|
335 |
+
- ▁XIWIT
|
336 |
+
- YI
|
337 |
+
- LIS
|
338 |
+
- ▁CA
|
339 |
+
- XMATTOK
|
340 |
+
- SÁ
|
341 |
+
- ▁MOTA
|
342 |
+
- RE
|
343 |
+
- ▁TIKIHTO
|
344 |
+
- ▁MI
|
345 |
+
- ▁X
|
346 |
+
- D
|
347 |
+
- ▁SAN
|
348 |
+
- WIH
|
349 |
+
- ▁WEHKA
|
350 |
+
- KWE
|
351 |
+
- CHA
|
352 |
+
- ▁SI
|
353 |
+
- KTIK
|
354 |
+
- ▁YETOK
|
355 |
+
- ▁MOKA
|
356 |
+
- NEMI
|
357 |
+
- LILIA
|
358 |
+
- ▁¿
|
359 |
+
- TIW
|
360 |
+
- ▁KIHTOWAH
|
361 |
+
- LTI
|
362 |
+
- Ó
|
363 |
+
- MASÁ
|
364 |
+
- ▁POR
|
365 |
+
- ▁TIKITA
|
366 |
+
- KETSA
|
367 |
+
- ▁IWA
|
368 |
+
- METS
|
369 |
+
- YOH
|
370 |
+
- ▁TAKWA
|
371 |
+
- HKEH
|
372 |
+
- ▁KIKWIH
|
373 |
+
- ▁KIKWA
|
374 |
+
- NIA
|
375 |
+
- ▁ACHI
|
376 |
+
- ▁KIKWAH
|
377 |
+
- ▁KACHI
|
378 |
+
- ▁PO
|
379 |
+
- ▁IGUAL
|
380 |
+
- NAL
|
381 |
+
- ▁PILI
|
382 |
+
- ▁NIMAN
|
383 |
+
- YE
|
384 |
+
- ▁NIKMATI
|
385 |
+
- WIAH
|
386 |
+
- ▁KIPA
|
387 |
+
- ▁M
|
388 |
+
- J
|
389 |
+
- ▁KWI
|
390 |
+
- ▁WI
|
391 |
+
- WAYA
|
392 |
+
- Z
|
393 |
+
- ▁KITEKI
|
394 |
+
- G
|
395 |
+
- ▁'
|
396 |
+
- ▁IHKO
|
397 |
+
- CE
|
398 |
+
- ▁TONI
|
399 |
+
- ▁TSIKITSI
|
400 |
+
- P
|
401 |
+
- DO
|
402 |
+
- TOKEH
|
403 |
+
- NIK
|
404 |
+
- ▁TIKILIAH
|
405 |
+
- ▁KOWTAH
|
406 |
+
- ▁TAI
|
407 |
+
- ▁TATA
|
408 |
+
- TIAH
|
409 |
+
- CA
|
410 |
+
- PIL
|
411 |
+
- CHOWA
|
412 |
+
- ▁KIMATI
|
413 |
+
- ▁TAMA
|
414 |
+
- XKA
|
415 |
+
- XIWIT
|
416 |
+
- TOS
|
417 |
+
- KILIT
|
418 |
+
- ILWI
|
419 |
+
- SKI
|
420 |
+
- YEH
|
421 |
+
- DA
|
422 |
+
- WAYO
|
423 |
+
- ▁TAPA
|
424 |
+
- ▁NIMO
|
425 |
+
- CHIT
|
426 |
+
- ▁NIMITS
|
427 |
+
- ▁KINA
|
428 |
+
- PAHTI
|
429 |
+
- RI
|
430 |
+
- ▁BUENO
|
431 |
+
- ▁ESKI
|
432 |
+
- WAYAH
|
433 |
+
- PANO
|
434 |
+
- KOW
|
435 |
+
- WEYAK
|
436 |
+
- LPAN
|
437 |
+
- LTIA
|
438 |
+
- ▁KITO
|
439 |
+
- CO
|
440 |
+
- ▁TINE
|
441 |
+
- KIH
|
442 |
+
- JO
|
443 |
+
- ▁KATKA
|
444 |
+
- ▁TIKTA
|
445 |
+
- PAHTIA
|
446 |
+
- ▁XIWTSI
|
447 |
+
- ▁CHIKA
|
448 |
+
- ▁KANAH
|
449 |
+
- ▁KOYO
|
450 |
+
- MPI
|
451 |
+
- ▁IXIWYO
|
452 |
+
- IHTIK
|
453 |
+
- ▁KWE
|
454 |
+
- ▁XIW
|
455 |
+
- WILIA
|
456 |
+
- XTIK
|
457 |
+
- ▁VE
|
458 |
+
- ▁TIKMATI
|
459 |
+
- ▁KOKOLIS
|
460 |
+
- LKWI
|
461 |
+
- ▁AHKO
|
462 |
+
- MEKAT
|
463 |
+
- ▁TIKMA
|
464 |
+
- ▁NIMITSILIA
|
465 |
+
- ▁MITS
|
466 |
+
- XTA
|
467 |
+
- ▁CO
|
468 |
+
- ▁KOMA
|
469 |
+
- ▁KOMOHKÓ
|
470 |
+
- F
|
471 |
+
- ▁OKSEKI
|
472 |
+
- ▁TEISÁ
|
473 |
+
- ▁ESO
|
474 |
+
- ▁IKOWYO
|
475 |
+
- ▁ES
|
476 |
+
- TOHTO
|
477 |
+
- XTI
|
478 |
+
- ▁TSI
|
479 |
+
- ▁TIKO
|
480 |
+
- PIHPI
|
481 |
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- ▁OKSÉ
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566 |
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579 |
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581 |
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582 |
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593 |
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597 |
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|
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599 |
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600 |
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601 |
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606 |
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input_size: null
|
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ctc_conf:
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612 |
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dropout_rate: 0.0
|
613 |
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ctc_type: builtin
|
614 |
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reduce: true
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615 |
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ignore_nan_grad: true
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616 |
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model_conf:
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617 |
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ctc_weight: 0.3
|
618 |
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lsm_weight: 0.1
|
619 |
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length_normalized_loss: false
|
620 |
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extract_feats_in_collect_stats: false
|
621 |
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use_preprocessor: true
|
622 |
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token_type: bpe
|
623 |
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bpemodel: data/token_list/bpe_unigram500/bpe.model
|
624 |
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non_linguistic_symbols: null
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625 |
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cleaner: null
|
626 |
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g2p: null
|
627 |
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speech_volume_normalize: null
|
628 |
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rir_scp: null
|
629 |
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rir_apply_prob: 1.0
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630 |
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noise_scp: null
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631 |
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noise_apply_prob: 1.0
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632 |
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noise_db_range: '13_15'
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633 |
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frontend: s3prl
|
634 |
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frontend_conf:
|
635 |
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frontend_conf:
|
636 |
+
upstream: hubert_large_ll60k
|
637 |
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download_dir: ./hub
|
638 |
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multilayer_feature: true
|
639 |
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fs: 16k
|
640 |
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specaug: specaug
|
641 |
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specaug_conf:
|
642 |
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apply_time_warp: true
|
643 |
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time_warp_window: 5
|
644 |
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time_warp_mode: bicubic
|
645 |
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apply_freq_mask: true
|
646 |
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freq_mask_width_range:
|
647 |
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- 0
|
648 |
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- 30
|
649 |
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num_freq_mask: 2
|
650 |
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apply_time_mask: true
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651 |
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time_mask_width_range:
|
652 |
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- 0
|
653 |
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- 40
|
654 |
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num_time_mask: 2
|
655 |
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normalize: utterance_mvn
|
656 |
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normalize_conf: {}
|
657 |
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preencoder: linear
|
658 |
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preencoder_conf:
|
659 |
+
input_size: 1024
|
660 |
+
output_size: 80
|
661 |
+
encoder: transformer
|
662 |
+
encoder_conf:
|
663 |
+
input_layer: conv2d
|
664 |
+
num_blocks: 12
|
665 |
+
linear_units: 2048
|
666 |
+
dropout_rate: 0.1
|
667 |
+
output_size: 256
|
668 |
+
attention_heads: 4
|
669 |
+
attention_dropout_rate: 0.0
|
670 |
+
postencoder: null
|
671 |
+
postencoder_conf: {}
|
672 |
+
decoder: transformer
|
673 |
+
decoder_conf:
|
674 |
+
input_layer: embed
|
675 |
+
num_blocks: 6
|
676 |
+
linear_units: 2048
|
677 |
+
dropout_rate: 0.1
|
678 |
+
required:
|
679 |
+
- output_dir
|
680 |
+
- token_list
|
681 |
+
version: 0.10.4a1
|
682 |
+
distributed: false
|
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/acc.png
ADDED
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/backward_time.png
ADDED
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/cer.png
ADDED
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/cer_ctc.png
ADDED
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/forward_time.png
ADDED
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/gpu_max_cached_mem_GB.png
ADDED
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/iter_time.png
ADDED
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/loss.png
ADDED
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/loss_att.png
ADDED
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/loss_ctc.png
ADDED
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/optim0_lr0.png
ADDED
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/optim_step_time.png
ADDED
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/train_time.png
ADDED
exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/images/wer.png
ADDED
meta.yaml
ADDED
@@ -0,0 +1,8 @@
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|
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|
1 |
+
espnet: 0.10.5a1
|
2 |
+
files:
|
3 |
+
asr_model_file: exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/45epoch.pth
|
4 |
+
python: "3.9.7 (default, Sep 16 2021, 13:09:58) \n[GCC 7.5.0]"
|
5 |
+
timestamp: 1640101379.421356
|
6 |
+
torch: 1.9.0
|
7 |
+
yaml_files:
|
8 |
+
asr_train_config: exp/asr_train_asr_transformer_hubert_raw_bpe500_sp/config.yaml
|