import from zenodo
Browse files- README.md +43 -0
- data/token_list/bpe_unigram1000/bpe.model +3 -0
- exp/asr_stats_raw_bpe1000/train/feats_stats.npz +0 -0
- exp/asr_train_asr_raw_bpe1000/196epoch.pth +3 -0
- exp/asr_train_asr_raw_bpe1000/RESULTS.md +32 -0
- exp/asr_train_asr_raw_bpe1000/config.yaml +1161 -0
- exp/asr_train_asr_raw_bpe1000/images/acc.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/backward_time.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/cer.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/cer_ctc.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/forward_time.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/gpu_max_cached_mem_GB.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/iter_time.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/loss.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/loss_att.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/loss_ctc.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/optim0_lr0.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/optim_step_time.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/train_time.png +0 -0
- exp/asr_train_asr_raw_bpe1000/images/wer.png +0 -0
- meta.yaml +8 -0
README.md
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---
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tags:
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- espnet
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- audio
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- automatic-speech-recognition
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language: su
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datasets:
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- su_openslr36
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license: cc-by-4.0
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---
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## ESPnet2 ASR pretrained model
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### `su_openslr36`
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♻️ Imported from https://zenodo.org/record/5090135/
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This model was trained by su_openslr36 using su_openslr36/asr1 recipe in [espnet](https://github.com/espnet/espnet/).
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### Demo: How to use in ESPnet2
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```python
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# coming soon
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```
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### Citing ESPnet
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```BibTex
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@inproceedings{watanabe2018espnet,
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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},
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title={{ESPnet}: End-to-End Speech Processing Toolkit},
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year={2018},
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booktitle={Proceedings of Interspeech},
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pages={2207--2211},
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doi={10.21437/Interspeech.2018-1456},
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| 29 |
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url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
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}
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```
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or arXiv:
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```bibtex
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@misc{watanabe2018espnet,
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title={ESPnet: End-to-End Speech Processing Toolkit},
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| 37 |
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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},
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| 38 |
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year={2018},
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| 39 |
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eprint={1804.00015},
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| 40 |
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archivePrefix={arXiv},
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| 41 |
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primaryClass={cs.CL}
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| 42 |
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}
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```
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data/token_list/bpe_unigram1000/bpe.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:10c596a2c27c533d1de72ebf607edfc0f2fc3fae8a9770f998a0d6c51495d818
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size 252039
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exp/asr_stats_raw_bpe1000/train/feats_stats.npz
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Binary file (1.4 kB). View file
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exp/asr_train_asr_raw_bpe1000/196epoch.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:10848443b9b121a13f86d982576155c1390d35eef2504acbe7b1a11f4cd0323c
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size 111680269
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exp/asr_train_asr_raw_bpe1000/RESULTS.md
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<!-- Generated by scripts/utils/show_asr_result.sh -->
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# RESULTS
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## Environments
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- date: `Fri Jul 9 20:43:31 PDT 2021`
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- python version: `3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0]`
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- espnet version: `espnet 0.10.0`
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| 7 |
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- pytorch version: `pytorch 1.8.1+cu102`
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- Git hash: `049c1203da14ec06a8f8290575f5a44a5b1634d1`
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- Commit date: `Fri Jul 9 08:52:32 2021 -0700`
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## asr_train_asr_raw_bpe1000
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### WER
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|---|---|---|---|---|---|---|---|---|
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|decode_asr_asr_model_valid.acc.best/sunda_test|2185|17916|98.5|1.2|0.3|0.1|1.6|5.0|
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|decode_asr_batch_size1_asr_model_valid.acc.best/sunda_test|2185|17916|98.5|1.2|0.3|0.1|1.6|5.0|
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### CER
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|---|---|---|---|---|---|---|---|---|
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|decode_asr_asr_model_valid.acc.best/sunda_test|2185|117265|99.5|0.2|0.3|0.1|0.6|5.0|
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|decode_asr_batch_size1_asr_model_valid.acc.best/sunda_test|2185|117265|99.5|0.2|0.3|0.1|0.6|5.0|
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### TER
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|---|---|---|---|---|---|---|---|---|
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|decode_asr_asr_model_valid.acc.best/sunda_test|2185|36414|98.5|0.9|0.6|0.2|1.6|5.0|
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| 31 |
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|decode_asr_batch_size1_asr_model_valid.acc.best/sunda_test|2185|36414|98.5|0.9|0.6|0.2|1.6|5.0|
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exp/asr_train_asr_raw_bpe1000/config.yaml
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|
|
| 1 |
+
config: conf/train_asr.yaml
|
| 2 |
+
print_config: false
|
| 3 |
+
log_level: INFO
|
| 4 |
+
dry_run: false
|
| 5 |
+
iterator_type: sequence
|
| 6 |
+
output_dir: exp/asr_train_asr_raw_bpe1000
|
| 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: 2
|
| 14 |
+
dist_rank: 0
|
| 15 |
+
local_rank: 0
|
| 16 |
+
dist_master_addr: localhost
|
| 17 |
+
dist_master_port: 44079
|
| 18 |
+
dist_launcher: null
|
| 19 |
+
multiprocessing_distributed: true
|
| 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: 200
|
| 28 |
+
patience: 20
|
| 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_bpe1000/train/speech_shape
|
| 69 |
+
- exp/asr_stats_raw_bpe1000/train/text_shape.bpe
|
| 70 |
+
valid_shape_file:
|
| 71 |
+
- exp/asr_stats_raw_bpe1000/valid/speech_shape
|
| 72 |
+
- exp/asr_stats_raw_bpe1000/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 |
+
- - dump/raw/sunda_train/wav.scp
|
| 86 |
+
- speech
|
| 87 |
+
- sound
|
| 88 |
+
- - dump/raw/sunda_train/text
|
| 89 |
+
- text
|
| 90 |
+
- text
|
| 91 |
+
valid_data_path_and_name_and_type:
|
| 92 |
+
- - dump/raw/sunda_dev/wav.scp
|
| 93 |
+
- speech
|
| 94 |
+
- sound
|
| 95 |
+
- - dump/raw/sunda_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: 10.0
|
| 105 |
+
scheduler: noamlr
|
| 106 |
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scheduler_conf:
|
| 107 |
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warmup_steps: 25000
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| 108 |
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|
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|
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|
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|
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|
| 518 |
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|
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|
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|
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|
| 523 |
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|
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|
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|
| 527 |
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|
| 528 |
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|
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|
| 530 |
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|
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|
| 532 |
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|
| 533 |
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|
| 534 |
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|
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|
| 536 |
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|
| 537 |
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|
| 538 |
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| 539 |
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|
| 542 |
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|
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|
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| 572 |
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| 574 |
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|
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|
| 576 |
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|
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|
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|
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|
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|
| 590 |
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|
| 591 |
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- HONY
|
| 592 |
+
- AFFLE
|
| 593 |
+
- ▁PERSI
|
| 594 |
+
- ▁CHE
|
| 595 |
+
- OLIVIA
|
| 596 |
+
- ▁SALMA
|
| 597 |
+
- ▁RONAL
|
| 598 |
+
- HOPE
|
| 599 |
+
- HUN
|
| 600 |
+
- ▁ROSE
|
| 601 |
+
- ILARI
|
| 602 |
+
- ▁KRISTEN
|
| 603 |
+
- ▁NOVITA
|
| 604 |
+
- ▁KAKA
|
| 605 |
+
- AMIL
|
| 606 |
+
- ▁RON
|
| 607 |
+
- ▁CITA
|
| 608 |
+
- ALBAR
|
| 609 |
+
- ▁VIR
|
| 610 |
+
- ▁FENI
|
| 611 |
+
- IOR
|
| 612 |
+
- ▁LED
|
| 613 |
+
- ▁ELVI
|
| 614 |
+
- ▁YOON
|
| 615 |
+
- ▁RIDWAN
|
| 616 |
+
- ▁RAF
|
| 617 |
+
- ▁ASTRI
|
| 618 |
+
- ▁DUA
|
| 619 |
+
- ▁MILL
|
| 620 |
+
- ▁DES
|
| 621 |
+
- IEF
|
| 622 |
+
- ▁TAM
|
| 623 |
+
- ▁ROY
|
| 624 |
+
- ▁KOES
|
| 625 |
+
- SUMA
|
| 626 |
+
- ▁CHIN
|
| 627 |
+
- ▁ROD
|
| 628 |
+
- ▁PIT
|
| 629 |
+
- KARNA
|
| 630 |
+
- LANK
|
| 631 |
+
- ▁YAYAN
|
| 632 |
+
- ▁BIG
|
| 633 |
+
- ▁ANIS
|
| 634 |
+
- OHANG
|
| 635 |
+
- QI
|
| 636 |
+
- ▁ALAM
|
| 637 |
+
- ▁MEG
|
| 638 |
+
- MAHE
|
| 639 |
+
- OWO
|
| 640 |
+
- ▁DOMIN
|
| 641 |
+
- ▁CHER
|
| 642 |
+
- IMBERL
|
| 643 |
+
- INTAN
|
| 644 |
+
- MORE
|
| 645 |
+
- ▁SUKA
|
| 646 |
+
- ▁NINI
|
| 647 |
+
- ▁STEFAN
|
| 648 |
+
- ▁CASE
|
| 649 |
+
- NAJ
|
| 650 |
+
- SEUEUR
|
| 651 |
+
- STER
|
| 652 |
+
- ▁JORDAN
|
| 653 |
+
- ▁ARIF
|
| 654 |
+
- ▁KIRAN
|
| 655 |
+
- YAKI
|
| 656 |
+
- ETTI
|
| 657 |
+
- ▁YUNG
|
| 658 |
+
- ASIH
|
| 659 |
+
- ▁SHEI
|
| 660 |
+
- QUE
|
| 661 |
+
- ▁STEV
|
| 662 |
+
- ▁VER
|
| 663 |
+
- MAJA
|
| 664 |
+
- ▁WAHYU
|
| 665 |
+
- ▁MICHE
|
| 666 |
+
- ▁BIMB
|
| 667 |
+
- HAB
|
| 668 |
+
- ▁BAHA
|
| 669 |
+
- ▁CAME
|
| 670 |
+
- ▁ALEXAND
|
| 671 |
+
- ▁ZAC
|
| 672 |
+
- ▁FRED
|
| 673 |
+
- ▁PIER
|
| 674 |
+
- ▁PINK
|
| 675 |
+
- ▁THOM
|
| 676 |
+
- ▁DJ
|
| 677 |
+
- ▁EMIL
|
| 678 |
+
- GIE
|
| 679 |
+
- ▁NICO
|
| 680 |
+
- ▁RUS
|
| 681 |
+
- ▁INDONESIA
|
| 682 |
+
- ▁KURNIA
|
| 683 |
+
- ▁FITRI
|
| 684 |
+
- IKO
|
| 685 |
+
- YANA
|
| 686 |
+
- ▁BOW
|
| 687 |
+
- LETT
|
| 688 |
+
- ▁HOL
|
| 689 |
+
- ▁MONA
|
| 690 |
+
- ▁ANDY
|
| 691 |
+
- GHAZ
|
| 692 |
+
- ▁MAG
|
| 693 |
+
- ▁NAD
|
| 694 |
+
- LANA
|
| 695 |
+
- ESIH
|
| 696 |
+
- ASMI
|
| 697 |
+
- ▁ARMAND
|
| 698 |
+
- ▁ADE
|
| 699 |
+
- DJA
|
| 700 |
+
- OVA
|
| 701 |
+
- AURE
|
| 702 |
+
- KUMAH
|
| 703 |
+
- ▁DANU
|
| 704 |
+
- ▁JERE
|
| 705 |
+
- ▁KIM
|
| 706 |
+
- ▁HAZ
|
| 707 |
+
- ▁GAL
|
| 708 |
+
- DANE
|
| 709 |
+
- ▁LEV
|
| 710 |
+
- ▁AMIN
|
| 711 |
+
- IBRA
|
| 712 |
+
- ▁MELAN
|
| 713 |
+
- ▁LOUIS
|
| 714 |
+
- ▁PURNAMA
|
| 715 |
+
- CENT
|
| 716 |
+
- ▁BRAMA
|
| 717 |
+
- ▁DANANG
|
| 718 |
+
- ▁DEVI
|
| 719 |
+
- ▁RANGGA
|
| 720 |
+
- ▁IQBA
|
| 721 |
+
- ▁POPP
|
| 722 |
+
- AYN
|
| 723 |
+
- HETT
|
| 724 |
+
- ▁DIMAS
|
| 725 |
+
- ▁MAND
|
| 726 |
+
- ▁NGAL
|
| 727 |
+
- ▁AGU
|
| 728 |
+
- ▁IVAN
|
| 729 |
+
- ▁FANN
|
| 730 |
+
- ▁IB
|
| 731 |
+
- ▁CLARK
|
| 732 |
+
- ▁HERMAN
|
| 733 |
+
- ▁ANA
|
| 734 |
+
- RELL
|
| 735 |
+
- LIAM
|
| 736 |
+
- LENN
|
| 737 |
+
- USSY
|
| 738 |
+
- ▁AHAD
|
| 739 |
+
- ▁RIRI
|
| 740 |
+
- OVI
|
| 741 |
+
- NTEN
|
| 742 |
+
- BRATA
|
| 743 |
+
- RID
|
| 744 |
+
- ▁ANNI
|
| 745 |
+
- ▁HERLIN
|
| 746 |
+
- ▁SULISTY
|
| 747 |
+
- SUHU
|
| 748 |
+
- ▁ANDRE
|
| 749 |
+
- ▁SENEN
|
| 750 |
+
- ▁NAND
|
| 751 |
+
- NAGARA
|
| 752 |
+
- ▁ANGGA
|
| 753 |
+
- ▁KRIST
|
| 754 |
+
- ACH
|
| 755 |
+
- PIRANG
|
| 756 |
+
- NDER
|
| 757 |
+
- DARI
|
| 758 |
+
- JUNG
|
| 759 |
+
- STADI
|
| 760 |
+
- ▁SALASA
|
| 761 |
+
- RLAND
|
| 762 |
+
- ▁NGOPI
|
| 763 |
+
- ▁JUMAAH
|
| 764 |
+
- ▁MANG
|
| 765 |
+
- RANI
|
| 766 |
+
- DHI
|
| 767 |
+
- ▁RAMADHAN
|
| 768 |
+
- ▁KIR
|
| 769 |
+
- ▁RATUS
|
| 770 |
+
- ▁AISH
|
| 771 |
+
- DIANA
|
| 772 |
+
- ▁MINGGON
|
| 773 |
+
- ▁KEMIS
|
| 774 |
+
- ▁LEO
|
| 775 |
+
- ASHI
|
| 776 |
+
- ▁SHAN
|
| 777 |
+
- ▁BANDUNG
|
| 778 |
+
- ▁IWA
|
| 779 |
+
- ▁PANTAI
|
| 780 |
+
- WEN
|
| 781 |
+
- ▁AWAK
|
| 782 |
+
- ▁PRESIDEN
|
| 783 |
+
- ▁NIR
|
| 784 |
+
- ▁MANCA
|
| 785 |
+
- ▁SAPTU
|
| 786 |
+
- CHA
|
| 787 |
+
- ▁KARD
|
| 788 |
+
- NTUH
|
| 789 |
+
- ▁MUSE
|
| 790 |
+
- STASI
|
| 791 |
+
- KMAN
|
| 792 |
+
- ▁FANS
|
| 793 |
+
- ▁ANYAR
|
| 794 |
+
- ▁ABI
|
| 795 |
+
- NGIR
|
| 796 |
+
- ▁DONGKAP
|
| 797 |
+
- '5'
|
| 798 |
+
- NGSI
|
| 799 |
+
- Q
|
| 800 |
+
- ▁PROPERT
|
| 801 |
+
- ▁NYIA
|
| 802 |
+
- NGGIH
|
| 803 |
+
- ▁DIDAMEL
|
| 804 |
+
- ▁NASIONAL
|
| 805 |
+
- OLI
|
| 806 |
+
- ▁KAAYA
|
| 807 |
+
- ▁KYL
|
| 808 |
+
- ▁UJANG
|
| 809 |
+
- ▁PENGG
|
| 810 |
+
- ▁POSTER
|
| 811 |
+
- ▁IEU
|
| 812 |
+
- IMAH
|
| 813 |
+
- ANDRY
|
| 814 |
+
- ▁KAGIATAN
|
| 815 |
+
- ▁KABUL
|
| 816 |
+
- ARIM
|
| 817 |
+
- ▁RUPIAH
|
| 818 |
+
- CAGE
|
| 819 |
+
- ▁MUSI
|
| 820 |
+
- ▁PART
|
| 821 |
+
- IBURAN
|
| 822 |
+
- ▁GAGA
|
| 823 |
+
- SUF
|
| 824 |
+
- ▁EFFE
|
| 825 |
+
- GEND
|
| 826 |
+
- ▁BLACK
|
| 827 |
+
- ▁ALBA
|
| 828 |
+
- ▁KUNC
|
| 829 |
+
- ▁VALEN
|
| 830 |
+
- IJAH
|
| 831 |
+
- ▁ANTARA
|
| 832 |
+
- OODY
|
| 833 |
+
- JOL
|
| 834 |
+
- ▁FOO
|
| 835 |
+
- ▁POLAND
|
| 836 |
+
- ▁METAL
|
| 837 |
+
- HYUN
|
| 838 |
+
- ADONA
|
| 839 |
+
- ▁ALEXA
|
| 840 |
+
- ARTI
|
| 841 |
+
- ▁BUSH
|
| 842 |
+
- ▁NORT
|
| 843 |
+
- LICA
|
| 844 |
+
- ▁GAMBAR
|
| 845 |
+
- ▁DOWN
|
| 846 |
+
- ▁QUEEN
|
| 847 |
+
- ▁STREE
|
| 848 |
+
- ▁CUT
|
| 849 |
+
- ▁BROK
|
| 850 |
+
- BEG
|
| 851 |
+
- ▁STAN
|
| 852 |
+
- ▁QUI
|
| 853 |
+
- GBA
|
| 854 |
+
- LEVI
|
| 855 |
+
- RIGHT
|
| 856 |
+
- ▁SEBA
|
| 857 |
+
- ▁WIZ
|
| 858 |
+
- IPAN
|
| 859 |
+
- ▁SUMBANG
|
| 860 |
+
- ▁ROLL
|
| 861 |
+
- ▁KARNO
|
| 862 |
+
- ESTU
|
| 863 |
+
- ▁ADJ
|
| 864 |
+
- ▁BIL
|
| 865 |
+
- AVO
|
| 866 |
+
- ▁NGADA
|
| 867 |
+
- ▁KOKO
|
| 868 |
+
- ▁NABI
|
| 869 |
+
- ▁GOES
|
| 870 |
+
- ▁FIGHT
|
| 871 |
+
- ▁STILL
|
| 872 |
+
- ▁PATT
|
| 873 |
+
- RRES
|
| 874 |
+
- ERENA
|
| 875 |
+
- ILANG
|
| 876 |
+
- ISTY
|
| 877 |
+
- ATUM
|
| 878 |
+
- ▁GUARDI
|
| 879 |
+
- ERJUN
|
| 880 |
+
- ▁NGAGE
|
| 881 |
+
- ▁LOREN
|
| 882 |
+
- ETRAL
|
| 883 |
+
- BIR
|
| 884 |
+
- FRON
|
| 885 |
+
- ▁SAHI
|
| 886 |
+
- ▁MISS
|
| 887 |
+
- ▁GRAND
|
| 888 |
+
- ▁GIGI
|
| 889 |
+
- ▁HYD
|
| 890 |
+
- ▁APPLE
|
| 891 |
+
- UYAN
|
| 892 |
+
- ▁WINTER
|
| 893 |
+
- ▁PETRA
|
| 894 |
+
- MAJU
|
| 895 |
+
- ▁BATU
|
| 896 |
+
- ▁MIHAR
|
| 897 |
+
- ▁BIDE
|
| 898 |
+
- ▁CECEP
|
| 899 |
+
- DIANTO
|
| 900 |
+
- DINI
|
| 901 |
+
- ▁AFGAN
|
| 902 |
+
- ▁WALK
|
| 903 |
+
- ▁CASI
|
| 904 |
+
- ▁DAMON
|
| 905 |
+
- ▁GARE
|
| 906 |
+
- ▁GAWE
|
| 907 |
+
- ▁MERC
|
| 908 |
+
- ▁TRAIN
|
| 909 |
+
- ▁TULU
|
| 910 |
+
- ▁KEYS
|
| 911 |
+
- ▁NGALAMA
|
| 912 |
+
- ▁BROWN
|
| 913 |
+
- ▁MAYORI
|
| 914 |
+
- ▁ELLI
|
| 915 |
+
- ▁GEUS
|
| 916 |
+
- ▁MEUNANG
|
| 917 |
+
- ▁KEND
|
| 918 |
+
- IKER
|
| 919 |
+
- SUT
|
| 920 |
+
- RAIG
|
| 921 |
+
- ▁SYARIF
|
| 922 |
+
- TEMAT
|
| 923 |
+
- ORGAN
|
| 924 |
+
- COTT
|
| 925 |
+
- LLAS
|
| 926 |
+
- ▁PANDU
|
| 927 |
+
- ▁PANGAB
|
| 928 |
+
- ▁WALT
|
| 929 |
+
- ▁SUPER
|
| 930 |
+
- EXTO
|
| 931 |
+
- IPT
|
| 932 |
+
- ▁MOSS
|
| 933 |
+
- ▁NASSA
|
| 934 |
+
- ▁HUG
|
| 935 |
+
- NADIA
|
| 936 |
+
- JUB
|
| 937 |
+
- HANKS
|
| 938 |
+
- ▁GRACE
|
| 939 |
+
- EATING
|
| 940 |
+
- ARDIAN
|
| 941 |
+
- ▁WISNU
|
| 942 |
+
- ▁ANGKAT
|
| 943 |
+
- ▁KOME
|
| 944 |
+
- NCER
|
| 945 |
+
- BIP
|
| 946 |
+
- SLIM
|
| 947 |
+
- ▁HYE
|
| 948 |
+
- USSE
|
| 949 |
+
- RENCE
|
| 950 |
+
- LOPE
|
| 951 |
+
- AKAMA
|
| 952 |
+
- SAHANA
|
| 953 |
+
- ▁INTERNET
|
| 954 |
+
- ▁MUKTI
|
| 955 |
+
- UTS
|
| 956 |
+
- ▁TERE
|
| 957 |
+
- ▁POP
|
| 958 |
+
- ���MULAN
|
| 959 |
+
- ▁BUNGA
|
| 960 |
+
- ▁USAHA
|
| 961 |
+
- BRUG
|
| 962 |
+
- ▁SCR
|
| 963 |
+
- ▁WATSON
|
| 964 |
+
- ▁SLAV
|
| 965 |
+
- PLAY
|
| 966 |
+
- ▁RIYAD
|
| 967 |
+
- ▁FELT
|
| 968 |
+
- RAINI
|
| 969 |
+
- ▁MUCH
|
| 970 |
+
- AMUNGK
|
| 971 |
+
- ▁BANK
|
| 972 |
+
- ▁DUNYA
|
| 973 |
+
- ▁FALS
|
| 974 |
+
- BET
|
| 975 |
+
- MUSU
|
| 976 |
+
- ▁BLOOM
|
| 977 |
+
- ▁HIGH
|
| 978 |
+
- ▁LILIS
|
| 979 |
+
- ▁KOLO
|
| 980 |
+
- ▁BRUNO
|
| 981 |
+
- ▁AJI
|
| 982 |
+
- COCK
|
| 983 |
+
- ▁PRIM
|
| 984 |
+
- ▁UNTUNG
|
| 985 |
+
- ▁STAT
|
| 986 |
+
- ▁HILL
|
| 987 |
+
- ▁ROBIN
|
| 988 |
+
- ▁GRAVE
|
| 989 |
+
- ▁MORRIS
|
| 990 |
+
- RAJAT
|
| 991 |
+
- ▁GEORGE
|
| 992 |
+
- ▁UTAMI
|
| 993 |
+
- ▁FORD
|
| 994 |
+
- ▁PISAN
|
| 995 |
+
- ▁JULI
|
| 996 |
+
- ROACH
|
| 997 |
+
- HIK
|
| 998 |
+
- ▁SAKULIA
|
| 999 |
+
- ▁CAKRA
|
| 1000 |
+
- ▁SOLIHUN
|
| 1001 |
+
- RUMP
|
| 1002 |
+
- ▁NANI
|
| 1003 |
+
- CULES
|
| 1004 |
+
- HINI
|
| 1005 |
+
- ▁HYU
|
| 1006 |
+
- ▁GEORGI
|
| 1007 |
+
- ▁PUTRA
|
| 1008 |
+
- ▁JEONG
|
| 1009 |
+
- VITA
|
| 1010 |
+
- ▁REST
|
| 1011 |
+
- ▁PEGG
|
| 1012 |
+
- LUNT
|
| 1013 |
+
- ONALD
|
| 1014 |
+
- ▁BEAT
|
| 1015 |
+
- ICHO
|
| 1016 |
+
- AVEN
|
| 1017 |
+
- ▁SARDI
|
| 1018 |
+
- OLEH
|
| 1019 |
+
- PUTIN
|
| 1020 |
+
- TIANA
|
| 1021 |
+
- ▁CUCU
|
| 1022 |
+
- HARGA
|
| 1023 |
+
- PUSPA
|
| 1024 |
+
- ▁CROW
|
| 1025 |
+
- ▁ISLAM
|
| 1026 |
+
- ▁PERMAN
|
| 1027 |
+
- ▁NUNU
|
| 1028 |
+
- ▁BUBBLE
|
| 1029 |
+
- ▁SUKSES
|
| 1030 |
+
- ▁SUGAND
|
| 1031 |
+
- BAGJA
|
| 1032 |
+
- LESTI
|
| 1033 |
+
- IFFE
|
| 1034 |
+
- PHAR
|
| 1035 |
+
- ▁APRIL
|
| 1036 |
+
- ▁AGAT
|
| 1037 |
+
- ▁ARCH
|
| 1038 |
+
- ▁SHEE
|
| 1039 |
+
- ▁GILL
|
| 1040 |
+
- ▁COFF
|
| 1041 |
+
- STISI
|
| 1042 |
+
- ▁ENDANG
|
| 1043 |
+
- INDRO
|
| 1044 |
+
- OBAN
|
| 1045 |
+
- GALUNG
|
| 1046 |
+
- PPIE
|
| 1047 |
+
- ▁PETE
|
| 1048 |
+
- ▁BAREN
|
| 1049 |
+
- BOURNE
|
| 1050 |
+
- LESIA
|
| 1051 |
+
- MAIL
|
| 1052 |
+
- ▁PRINCE
|
| 1053 |
+
- ▁LANGIT
|
| 1054 |
+
- SWOR
|
| 1055 |
+
- SEBAT
|
| 1056 |
+
- TISS
|
| 1057 |
+
- UWAI
|
| 1058 |
+
- ▁WEI
|
| 1059 |
+
- NIGHT
|
| 1060 |
+
- SADEW
|
| 1061 |
+
- DALE
|
| 1062 |
+
- AMBO
|
| 1063 |
+
- IGG
|
| 1064 |
+
- AGASKAR
|
| 1065 |
+
- ▁HEATH
|
| 1066 |
+
- RESNA
|
| 1067 |
+
- HALLE
|
| 1068 |
+
- AMIT
|
| 1069 |
+
- ▁BRANCH
|
| 1070 |
+
- AKOTA
|
| 1071 |
+
- ▁BARB
|
| 1072 |
+
- ▁CHEMI
|
| 1073 |
+
- ▁PRIATNA
|
| 1074 |
+
- '0'
|
| 1075 |
+
- ▁COBA
|
| 1076 |
+
- ▁ESPE
|
| 1077 |
+
- ITJE
|
| 1078 |
+
- WULAN
|
| 1079 |
+
- ▁GUGUM
|
| 1080 |
+
- NSIL
|
| 1081 |
+
- UNGSU
|
| 1082 |
+
- ▁BLUE
|
| 1083 |
+
- ▁ASEP
|
| 1084 |
+
- TILES
|
| 1085 |
+
- UCI
|
| 1086 |
+
- ITEPU
|
| 1087 |
+
- ▁PROJECT
|
| 1088 |
+
- PPOL
|
| 1089 |
+
- Í
|
| 1090 |
+
- '1'
|
| 1091 |
+
- '"'
|
| 1092 |
+
- '6'
|
| 1093 |
+
- '2'
|
| 1094 |
+
- '3'
|
| 1095 |
+
- '8'
|
| 1096 |
+
- ''''
|
| 1097 |
+
- '9'
|
| 1098 |
+
- '7'
|
| 1099 |
+
- '4'
|
| 1100 |
+
- '!'
|
| 1101 |
+
- È
|
| 1102 |
+
- ','
|
| 1103 |
+
- ;
|
| 1104 |
+
- '&'
|
| 1105 |
+
- Ä
|
| 1106 |
+
- Ñ
|
| 1107 |
+
- Ō
|
| 1108 |
+
- <sos/eos>
|
| 1109 |
+
init: chainer
|
| 1110 |
+
input_size: null
|
| 1111 |
+
ctc_conf:
|
| 1112 |
+
dropout_rate: 0.0
|
| 1113 |
+
ctc_type: builtin
|
| 1114 |
+
reduce: true
|
| 1115 |
+
ignore_nan_grad: true
|
| 1116 |
+
model_conf:
|
| 1117 |
+
ctc_weight: 0.3
|
| 1118 |
+
lsm_weight: 0.1
|
| 1119 |
+
length_normalized_loss: false
|
| 1120 |
+
use_preprocessor: true
|
| 1121 |
+
token_type: bpe
|
| 1122 |
+
bpemodel: data/token_list/bpe_unigram1000/bpe.model
|
| 1123 |
+
non_linguistic_symbols: null
|
| 1124 |
+
cleaner: null
|
| 1125 |
+
g2p: null
|
| 1126 |
+
speech_volume_normalize: null
|
| 1127 |
+
rir_scp: null
|
| 1128 |
+
rir_apply_prob: 1.0
|
| 1129 |
+
noise_scp: null
|
| 1130 |
+
noise_apply_prob: 1.0
|
| 1131 |
+
noise_db_range: '13_15'
|
| 1132 |
+
frontend: default
|
| 1133 |
+
frontend_conf:
|
| 1134 |
+
fs: 16k
|
| 1135 |
+
specaug: null
|
| 1136 |
+
specaug_conf: {}
|
| 1137 |
+
normalize: global_mvn
|
| 1138 |
+
normalize_conf:
|
| 1139 |
+
stats_file: exp/asr_stats_raw_bpe1000/train/feats_stats.npz
|
| 1140 |
+
preencoder: null
|
| 1141 |
+
preencoder_conf: {}
|
| 1142 |
+
encoder: transformer
|
| 1143 |
+
encoder_conf:
|
| 1144 |
+
input_layer: conv2d
|
| 1145 |
+
num_blocks: 12
|
| 1146 |
+
linear_units: 2048
|
| 1147 |
+
dropout_rate: 0.1
|
| 1148 |
+
output_size: 256
|
| 1149 |
+
attention_heads: 4
|
| 1150 |
+
attention_dropout_rate: 0.0
|
| 1151 |
+
decoder: transformer
|
| 1152 |
+
decoder_conf:
|
| 1153 |
+
input_layer: embed
|
| 1154 |
+
num_blocks: 6
|
| 1155 |
+
linear_units: 2048
|
| 1156 |
+
dropout_rate: 0.1
|
| 1157 |
+
required:
|
| 1158 |
+
- output_dir
|
| 1159 |
+
- token_list
|
| 1160 |
+
version: 0.9.10
|
| 1161 |
+
distributed: true
|
exp/asr_train_asr_raw_bpe1000/images/acc.png
ADDED
|
exp/asr_train_asr_raw_bpe1000/images/backward_time.png
ADDED
|
exp/asr_train_asr_raw_bpe1000/images/cer.png
ADDED
|
exp/asr_train_asr_raw_bpe1000/images/cer_ctc.png
ADDED
|
exp/asr_train_asr_raw_bpe1000/images/forward_time.png
ADDED
|
exp/asr_train_asr_raw_bpe1000/images/gpu_max_cached_mem_GB.png
ADDED
|
exp/asr_train_asr_raw_bpe1000/images/iter_time.png
ADDED
|
exp/asr_train_asr_raw_bpe1000/images/loss.png
ADDED
|
exp/asr_train_asr_raw_bpe1000/images/loss_att.png
ADDED
|
exp/asr_train_asr_raw_bpe1000/images/loss_ctc.png
ADDED
|
exp/asr_train_asr_raw_bpe1000/images/optim0_lr0.png
ADDED
|
exp/asr_train_asr_raw_bpe1000/images/optim_step_time.png
ADDED
|
exp/asr_train_asr_raw_bpe1000/images/train_time.png
ADDED
|
exp/asr_train_asr_raw_bpe1000/images/wer.png
ADDED
|
meta.yaml
ADDED
|
@@ -0,0 +1,8 @@
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|
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|
|
|
|
| 1 |
+
espnet: 0.10.0
|
| 2 |
+
files:
|
| 3 |
+
asr_model_file: exp/asr_train_asr_raw_bpe1000/196epoch.pth
|
| 4 |
+
python: "3.8.5 (default, Sep 4 2020, 07:30:14) \n[GCC 7.3.0]"
|
| 5 |
+
timestamp: 1625888611.903976
|
| 6 |
+
torch: 1.8.1+cu102
|
| 7 |
+
yaml_files:
|
| 8 |
+
asr_train_config: exp/asr_train_asr_raw_bpe1000/config.yaml
|