Upload 7 files
Browse files- README.md +70 -3
- exp/asr_stats_raw_jp_char_sp/train/feats_stats.npz +3 -0
- exp/asr_train_asr_streaming_transformer_ja_raw_jp_char_sp/config.yaml +279 -0
- exp/asr_train_asr_streaming_transformer_ja_raw_jp_char_sp/valid.acc.ave_10best.pth +3 -0
- exp/lm_train_lm_ja_char/config.yaml +203 -0
- exp/lm_train_lm_ja_char/valid.loss.ave.pth +3 -0
- meta.yaml +6 -0
README.md
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---
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---
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{}
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---
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## ESPnet2 Streaming Katakana ASR model
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### `ouktlab/espnet_streaming_csj_asr_train_asr_transformer_lm_rnn`
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This model was trained using csj recipe in [espnet](https://github.com/espnet/espnet/).
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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 Yalta 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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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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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},
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year={2018},
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eprint={1804.00015},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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### Training data recipe of this model (rev.+bgn.)
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```BibTex
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@inproceedings{rtakeda2023:apsipa,
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author={Ryu Takeda and Yui Sudo and Kazunori Komatani},
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title={Flexible Evidence Model to Reduce Uncertainty Mismatch Between Speech Enhancement and ASR Based on Encoder-Decoder Architecture},
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year={2023},
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booktitle={Proceedings of Asia Pacific Signal and Information Processing Association (APSIPA)},
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pages={1830-1837}
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}
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### Katakana model
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```BibTex
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@inproceedings{rtakeda2024:iwsds,
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author={Ryu Takeda and Kazunori Komatani},
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title={Toward OOV-word Acquisition during Spoken Dialogue using Syllable-based ASR and Word Segmentation},
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year={2024},
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booktitle={Proceedings of International Workshop on Spoken Dialogue Systems Technology (IWSDS)},
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}
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@inproceedings{oshio2023:apsipa,
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author={Miki Oshio, Hokuto Munakata, Ryu Takeda and Kazunori Komatani},
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title={Out-Of-Vocabulary Word Detection in Spoken Dialogues Based on Joint Decoding with User Response Patterns},
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year={2023},
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booktitle={Proceedings of Asia Pacific Signal and Information Processing Association (APSIPA)},
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pages={1753-1759}
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}
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```
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license: cc-by-nc-4.0
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exp/asr_stats_raw_jp_char_sp/train/feats_stats.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:621b82abd629a39b062a42ff8bcd32be2286b8f70b7a992254dfcb129a3d9de8
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size 1402
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exp/asr_train_asr_streaming_transformer_ja_raw_jp_char_sp/config.yaml
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config: conf/train_asr_streaming_transformer_ja.yaml
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print_config: false
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log_level: INFO
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dry_run: false
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iterator_type: sequence
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output_dir: exp/asr_train_asr_streaming_transformer_ja_raw_jp_char_sp
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ngpu: 1
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seed: 0
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num_workers: 1
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num_att_plot: 3
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dist_backend: nccl
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dist_init_method: env://
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dist_world_size: 3
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dist_rank: 0
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local_rank: 0
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dist_master_addr: localhost
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dist_master_port: 49623
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dist_launcher: null
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multiprocessing_distributed: true
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unused_parameters: false
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sharded_ddp: false
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cudnn_enabled: true
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cudnn_benchmark: false
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cudnn_deterministic: true
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collect_stats: false
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write_collected_feats: false
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max_epoch: 100
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patience: null
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val_scheduler_criterion:
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- valid
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- loss
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early_stopping_criterion:
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- valid
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- loss
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- min
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best_model_criterion:
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- - valid
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- acc
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- max
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keep_nbest_models: 10
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nbest_averaging_interval: 0
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grad_clip: 5.0
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grad_clip_type: 2.0
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grad_noise: false
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accum_grad: 6
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no_forward_run: false
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resume: true
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train_dtype: float32
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use_amp: false
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log_interval: null
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use_matplotlib: true
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use_tensorboard: true
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create_graph_in_tensorboard: false
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use_wandb: false
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wandb_project: null
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wandb_id: null
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wandb_entity: null
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wandb_name: null
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wandb_model_log_interval: -1
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detect_anomaly: false
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pretrain_path: null
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init_param: []
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ignore_init_mismatch: false
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freeze_param: []
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num_iters_per_epoch: null
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batch_size: 20
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valid_batch_size: null
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batch_bins: 15000000
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valid_batch_bins: null
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train_shape_file:
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- exp/asr_stats_raw_jp_char_sp/train/speech_shape
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- exp/asr_stats_raw_jp_char_sp/train/text_shape.char
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valid_shape_file:
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- exp/asr_stats_raw_jp_char_sp/valid/speech_shape
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- exp/asr_stats_raw_jp_char_sp/valid/text_shape.char
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batch_type: numel
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valid_batch_type: null
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fold_length:
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- 80000
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- 150
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sort_in_batch: descending
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sort_batch: descending
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multiple_iterator: false
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chunk_length: 500
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chunk_shift_ratio: 0.5
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num_cache_chunks: 1024
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train_data_path_and_name_and_type:
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- - dump/raw/train_nodup_sp/wav.scp
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- speech
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- sound
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- - dump/raw/train_nodup_sp/text
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- text
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- text
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valid_data_path_and_name_and_type:
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- - dump/raw/train_dev/wav.scp
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- speech
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- sound
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- - dump/raw/train_dev/text
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- text
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- text
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allow_variable_data_keys: false
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max_cache_size: 0.0
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max_cache_fd: 32
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valid_max_cache_size: null
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optim: adam
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optim_conf:
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lr: 0.002
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scheduler: warmuplr
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scheduler_conf:
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warmup_steps: 25000
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token_list:
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- <blank>
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- <unk>
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- ー
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- ン
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- イ
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- ト
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- ノ
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- シ
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- カ
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- テ
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- デ
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- タ
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- ス
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- マ
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- ッ
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- ナ
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- コ
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- オ
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- ニ
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- エ
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- ワ
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- ク
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- ア
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- ガ
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- モ
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- キ
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- ル
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- ジ
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- レ
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- リ
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- ョ
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- ソ
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- ラ
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- ツ
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- チ
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- ケ
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- ユ
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- ド
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- サ
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- セ
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- ヨ
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- ダ
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- ュ
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- ヒ
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- ウ
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- ネ
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- ホ
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- ハ
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- ミ
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- ゴ
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- ロ
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- ブ
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- バ
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- ヤ
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- メ
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- ャ
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- フ
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- ズ
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- ゲ
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- ム
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- ギ
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- グ
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- パ
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- ベ
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- ゼ
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- ビ
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- ザ
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- ヘ
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- ボ
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- ィ
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- ゾ
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- プ
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- ピ
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- ヌ
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- ポ
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- ェ
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- ァ
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- ゥ
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- ォ
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- ヴ
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- ヮ
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- ヅ
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- <sos/eos>
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init: xavier_uniform
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input_size: null
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ctc_conf:
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dropout_rate: 0.0
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ctc_type: builtin
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reduce: true
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ignore_nan_grad: null
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zero_infinity: true
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joint_net_conf: null
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use_preprocessor: true
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token_type: char
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bpemodel: null
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non_linguistic_symbols: null
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cleaner: null
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g2p: null
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speech_volume_normalize: null
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rir_scp: null
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rir_apply_prob: 1.0
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noise_scp: null
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noise_apply_prob: 1.0
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noise_db_range: '13_15'
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short_noise_thres: 0.5
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frontend: default
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frontend_conf:
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fs: 16k
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specaug: specaug
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specaug_conf:
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apply_time_warp: true
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time_warp_window: 5
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time_warp_mode: bicubic
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apply_freq_mask: true
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freq_mask_width_range:
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- 0
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- 30
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num_freq_mask: 2
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apply_time_mask: true
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time_mask_width_range:
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+
- 0
|
234 |
+
- 40
|
235 |
+
num_time_mask: 2
|
236 |
+
normalize: global_mvn
|
237 |
+
normalize_conf:
|
238 |
+
stats_file: exp/asr_stats_raw_jp_char_sp/train/feats_stats.npz
|
239 |
+
model: espnet
|
240 |
+
model_conf:
|
241 |
+
ctc_weight: 0.3
|
242 |
+
lsm_weight: 0.1
|
243 |
+
length_normalized_loss: false
|
244 |
+
preencoder: null
|
245 |
+
preencoder_conf: {}
|
246 |
+
encoder: contextual_block_transformer
|
247 |
+
encoder_conf:
|
248 |
+
output_size: 512
|
249 |
+
attention_heads: 8
|
250 |
+
linear_units: 2048
|
251 |
+
num_blocks: 18
|
252 |
+
dropout_rate: 0.1
|
253 |
+
positional_dropout_rate: 0.1
|
254 |
+
attention_dropout_rate: 0.1
|
255 |
+
input_layer: conv2d6
|
256 |
+
normalize_before: true
|
257 |
+
block_size: 40
|
258 |
+
hop_size: 16
|
259 |
+
look_ahead: 16
|
260 |
+
init_average: true
|
261 |
+
ctx_pos_enc: true
|
262 |
+
postencoder: null
|
263 |
+
postencoder_conf: {}
|
264 |
+
decoder: transformer
|
265 |
+
decoder_conf:
|
266 |
+
attention_heads: 8
|
267 |
+
linear_units: 2048
|
268 |
+
num_blocks: 6
|
269 |
+
dropout_rate: 0.1
|
270 |
+
positional_dropout_rate: 0.1
|
271 |
+
self_attention_dropout_rate: 0.1
|
272 |
+
src_attention_dropout_rate: 0.1
|
273 |
+
preprocessor: default
|
274 |
+
preprocessor_conf: {}
|
275 |
+
required:
|
276 |
+
- output_dir
|
277 |
+
- token_list
|
278 |
+
version: '202211'
|
279 |
+
distributed: true
|
exp/asr_train_asr_streaming_transformer_ja_raw_jp_char_sp/valid.acc.ave_10best.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9ffa823a00bc1b5e8b1161e327f3306ff8a68ba2c5a18a389d6d028eab1fc89a
|
3 |
+
size 367467429
|
exp/lm_train_lm_ja_char/config.yaml
ADDED
@@ -0,0 +1,203 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
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|
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|
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|
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|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
config: conf/train_lm.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
dry_run: false
|
5 |
+
iterator_type: sequence
|
6 |
+
output_dir: exp/lm_train_lm_jp_char
|
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: 3
|
14 |
+
dist_rank: 0
|
15 |
+
local_rank: 0
|
16 |
+
dist_master_addr: localhost
|
17 |
+
dist_master_port: 54257
|
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: 40
|
28 |
+
patience: 3
|
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 |
+
- loss
|
39 |
+
- min
|
40 |
+
keep_nbest_models: 1
|
41 |
+
nbest_averaging_interval: 0
|
42 |
+
grad_clip: 5.0
|
43 |
+
grad_clip_type: 2.0
|
44 |
+
grad_noise: false
|
45 |
+
accum_grad: 1
|
46 |
+
no_forward_run: false
|
47 |
+
resume: true
|
48 |
+
train_dtype: float32
|
49 |
+
use_amp: false
|
50 |
+
log_interval: null
|
51 |
+
use_matplotlib: true
|
52 |
+
use_tensorboard: true
|
53 |
+
create_graph_in_tensorboard: false
|
54 |
+
use_wandb: false
|
55 |
+
wandb_project: null
|
56 |
+
wandb_id: null
|
57 |
+
wandb_entity: null
|
58 |
+
wandb_name: null
|
59 |
+
wandb_model_log_interval: -1
|
60 |
+
detect_anomaly: false
|
61 |
+
pretrain_path: null
|
62 |
+
init_param: []
|
63 |
+
ignore_init_mismatch: false
|
64 |
+
freeze_param: []
|
65 |
+
num_iters_per_epoch: null
|
66 |
+
batch_size: 256
|
67 |
+
valid_batch_size: null
|
68 |
+
batch_bins: 1000000
|
69 |
+
valid_batch_bins: null
|
70 |
+
train_shape_file:
|
71 |
+
- exp/lm_stats_jp_char/train/text_shape.char
|
72 |
+
valid_shape_file:
|
73 |
+
- exp/lm_stats_jp_char/valid/text_shape.char
|
74 |
+
batch_type: folded
|
75 |
+
valid_batch_type: null
|
76 |
+
fold_length:
|
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/lm_train.txt
|
86 |
+
- text
|
87 |
+
- text
|
88 |
+
valid_data_path_and_name_and_type:
|
89 |
+
- - dump/raw/train_dev/text
|
90 |
+
- text
|
91 |
+
- text
|
92 |
+
allow_variable_data_keys: false
|
93 |
+
max_cache_size: 0.0
|
94 |
+
max_cache_fd: 32
|
95 |
+
valid_max_cache_size: null
|
96 |
+
optim: sgd
|
97 |
+
optim_conf: {}
|
98 |
+
scheduler: null
|
99 |
+
scheduler_conf: {}
|
100 |
+
token_list:
|
101 |
+
- <blank>
|
102 |
+
- <unk>
|
103 |
+
- ー
|
104 |
+
- ン
|
105 |
+
- イ
|
106 |
+
- ト
|
107 |
+
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|
108 |
+
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|
109 |
+
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|
110 |
+
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|
111 |
+
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|
112 |
+
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|
113 |
+
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|
114 |
+
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|
115 |
+
- ッ
|
116 |
+
- ナ
|
117 |
+
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|
118 |
+
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|
119 |
+
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|
120 |
+
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|
121 |
+
- ワ
|
122 |
+
- ク
|
123 |
+
- ア
|
124 |
+
- ガ
|
125 |
+
- モ
|
126 |
+
- キ
|
127 |
+
- ル
|
128 |
+
- ジ
|
129 |
+
- レ
|
130 |
+
- リ
|
131 |
+
- ョ
|
132 |
+
- ソ
|
133 |
+
- ラ
|
134 |
+
- ツ
|
135 |
+
- チ
|
136 |
+
- ケ
|
137 |
+
- ユ
|
138 |
+
- ド
|
139 |
+
- サ
|
140 |
+
- セ
|
141 |
+
- ヨ
|
142 |
+
- ダ
|
143 |
+
- ュ
|
144 |
+
- ヒ
|
145 |
+
- ウ
|
146 |
+
- ネ
|
147 |
+
- ホ
|
148 |
+
- ハ
|
149 |
+
- ミ
|
150 |
+
- ゴ
|
151 |
+
- ロ
|
152 |
+
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|
153 |
+
- バ
|
154 |
+
- ヤ
|
155 |
+
- メ
|
156 |
+
- ャ
|
157 |
+
- フ
|
158 |
+
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|
159 |
+
- ゲ
|
160 |
+
- ム
|
161 |
+
- ギ
|
162 |
+
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|
163 |
+
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|
164 |
+
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|
165 |
+
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|
166 |
+
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|
167 |
+
- ザ
|
168 |
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- ヘ
|
169 |
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|
170 |
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|
171 |
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|
172 |
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|
173 |
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|
174 |
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|
175 |
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|
176 |
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|
177 |
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|
178 |
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|
179 |
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|
180 |
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|
181 |
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|
182 |
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- ヮ
|
183 |
+
- ヅ
|
184 |
+
- <sos/eos>
|
185 |
+
init: null
|
186 |
+
model_conf:
|
187 |
+
ignore_id: 0
|
188 |
+
use_preprocessor: true
|
189 |
+
token_type: char
|
190 |
+
bpemodel: null
|
191 |
+
non_linguistic_symbols: null
|
192 |
+
cleaner: null
|
193 |
+
g2p: null
|
194 |
+
lm: seq_rnn
|
195 |
+
lm_conf:
|
196 |
+
rnn_type: lstm
|
197 |
+
nlayers: 2
|
198 |
+
unit: 650
|
199 |
+
required:
|
200 |
+
- output_dir
|
201 |
+
- token_list
|
202 |
+
version: '202211'
|
203 |
+
distributed: true
|
exp/lm_train_lm_ja_char/valid.loss.ave.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f6ded470555649ab4dec4c8403de325e81743c443006a0dadf18399836145df3
|
3 |
+
size 27520991
|
meta.yaml
ADDED
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
files:
|
2 |
+
asr_model_file: exp/asr_train_asr_streaming_transformer_ja_raw_jp_char_sp/valid.acc.ave_10best.pth
|
3 |
+
lm_file: exp/lm_train_lm_ja_char/valid.loss.ave.pth
|
4 |
+
yaml_files:
|
5 |
+
asr_train_config: exp/asr_train_asr_streaming_transformer_ja_raw_jp_char_sp/config.yaml
|
6 |
+
lm_train_config: exp/lm_train_lm_ja_char/config.yaml
|