|
--- |
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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: jp |
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datasets: |
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- cejc_alt |
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license: cc-by-4.0 |
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--- |
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|
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## ESPnet2 ASR model |
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|
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### `fujie/espnet_asr_cbs_transducer_120303_hop132_cc0105` |
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|
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This model was trained by Shinya Fujie using cejc_alt recipe in [espnet](https://github.com/espnet/espnet/). |
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### Demo: How to use in ESPnet2 |
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Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html) |
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if you haven't done that already. |
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```bash |
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cd espnet |
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git checkout 4c1c38f2c9c6a105ff4cffa8c833b0eb47f501a4 |
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pip install -e . |
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cd egs2/cejc_alt/asr1 |
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./run.sh --skip_data_prep false --skip_train true --download_model fujie/espnet_asr_cbs_transducer_120303_hop132_cc0105 |
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``` |
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|
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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: `Sun Mar 10 16:16:24 JST 2024` |
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- python version: `3.11.7 (main, Dec 15 2023, 18:12:31) [GCC 11.2.0]` |
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- espnet version: `espnet 202402` |
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- pytorch version: `pytorch 2.1.0+cu121` |
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- Git hash: `bf3653d6bd16c10a1df83f1db07e681374453f75` |
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- Commit date: `Wed Mar 6 17:25:02 2024 +0900` |
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|
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## exp/asr_train_asr_cbs_transducer_120303_hop132_cc0105 |
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### WER |
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|
|
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
|
|---|---|---|---|---|---|---|---|---| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval10f|953|11908|89.2|5.7|5.1|3.0|13.8|58.0| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval10m|957|16092|93.8|2.9|3.3|2.1|8.3|55.1| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval1_csj|1400|63362|94.9|3.0|2.1|1.2|6.3|69.5| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval20f|1466|18326|90.5|5.1|4.4|2.5|12.0|55.0| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval20m|1772|23756|89.0|5.8|5.2|2.8|13.8|56.6| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval2_csj|1413|64151|96.2|2.3|1.5|0.9|4.7|67.9| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval30f|1734|24116|93.6|3.4|3.0|2.3|8.8|48.1| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval30m|1688|20116|85.2|8.0|6.8|3.5|18.3|59.4| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval3_csj|1437|40131|96.3|2.0|1.8|1.2|4.9|52.6| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval40f|1477|20717|90.3|4.2|5.4|2.5|12.2|53.2| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval40m|1498|24747|92.4|3.5|4.1|2.3|9.9|55.7| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval50f|1450|26584|95.4|2.0|2.6|1.8|6.4|49.1| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval50m|1499|22572|92.0|4.1|4.0|2.4|10.4|54.6| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval60f|1335|21810|92.6|3.5|3.9|2.5|9.8|54.9| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval60m|1621|24151|89.5|5.0|5.4|2.3|12.8|62.1| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval70f|906|9542|88.7|5.7|5.6|3.4|14.7|53.4| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval70m|894|12490|92.9|3.5|3.5|2.6|9.7|51.6| |
|
|
|
### CER |
|
|
|
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
|
|---|---|---|---|---|---|---|---|---| |
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|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval10f|953|24583|91.5|3.5|5.0|3.1|11.6|58.0| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval10m|957|33749|94.9|1.6|3.5|2.4|7.5|55.1| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval1_csj|1400|139085|96.0|1.5|2.5|1.4|5.4|69.5| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval20f|1466|37024|92.3|3.1|4.6|2.6|10.4|55.0| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval20m|1772|47838|91.4|3.6|5.1|2.8|11.4|56.6| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval2_csj|1413|140081|97.0|1.0|2.0|1.2|4.2|67.9| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval30f|1734|48968|94.6|2.1|3.3|2.7|8.0|48.1| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval30m|1688|41067|88.4|4.9|6.7|3.5|15.1|59.4| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval3_csj|1437|86583|96.8|0.8|2.3|1.5|4.7|52.6| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval40f|1477|42609|91.7|2.8|5.5|2.4|10.7|53.2| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval40m|1498|51748|93.2|2.1|4.7|2.5|9.3|55.7| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval50f|1450|54181|95.8|1.4|2.8|1.9|6.1|49.1| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval50m|1499|46031|93.4|2.6|4.0|2.4|9.0|54.6| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval60f|1335|45028|93.9|2.0|4.2|2.7|8.9|54.9| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval60m|1621|49442|91.4|3.0|5.6|2.5|11.1|62.1| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval70f|906|19386|90.7|3.7|5.6|3.6|12.9|53.4| |
|
|decode_cbs_transducer_asr_model_valid.cer_transducer.ave_10best/eval70m|894|26203|94.1|2.1|3.7|3.0|8.9|51.6| |
|
|
|
### TER |
|
|
|
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
|
|---|---|---|---|---|---|---|---|---| |
|
|
|
## ASR config |
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|
|
<details><summary>expand</summary> |
|
|
|
``` |
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config: myconf/train_asr_cbs_transducer_120303_hop132_silver11.yaml |
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print_config: false |
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log_level: INFO |
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drop_last_iter: false |
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dry_run: false |
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iterator_type: sequence |
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valid_iterator_type: null |
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output_dir: exp/asr_train_asr_cbs_transducer_120303_hop132_cc0105 |
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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: 0 |
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dist_backend: nccl |
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dist_init_method: env:// |
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dist_world_size: null |
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dist_rank: null |
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local_rank: 0 |
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dist_master_addr: null |
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dist_master_port: null |
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dist_launcher: null |
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multiprocessing_distributed: false |
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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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- cer_transducer |
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- min |
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keep_nbest_models: 10 |
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nbest_averaging_interval: 0 |
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grad_clip: 5 |
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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: true |
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wandb_project: espnet_ninjal |
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wandb_id: null |
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wandb_entity: null |
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wandb_name: cejc_cbs_td_120303_hop132_cc0105 |
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wandb_model_log_interval: -1 |
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detect_anomaly: false |
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use_lora: false |
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save_lora_only: true |
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lora_conf: {} |
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pretrain_path: null |
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init_param: |
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- ./exp/asr_train_asr_cbs_transducer_081616_hop132/valid.cer_transducer.ave_10best.pth |
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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: 2000000 |
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valid_batch_bins: null |
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train_shape_file: |
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- exp/asr_stats_raw_jp_word_cc0105/train/speech_shape |
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- exp/asr_stats_raw_jp_word_cc0105/train/text_shape.word |
|
valid_shape_file: |
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- exp/asr_stats_raw_jp_word_cc0105/valid/speech_shape |
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- exp/asr_stats_raw_jp_word_cc0105/valid/text_shape.word |
|
batch_type: numel |
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valid_batch_type: null |
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fold_length: |
|
- 80000 |
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- 150 |
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sort_in_batch: descending |
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shuffle_within_batch: false |
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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 |
|
chunk_excluded_key_prefixes: [] |
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chunk_default_fs: null |
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train_data_path_and_name_and_type: |
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- - dump/raw/train_nodup_cc_01_05/wav.scp |
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- speech |
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- sound |
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- - dump/raw/train_nodup_cc_01_05/text |
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- text |
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- text |
|
valid_data_path_and_name_and_type: |
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- - dump/raw/train_dev_cc/wav.scp |
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- speech |
|
- sound |
|
- - dump/raw/train_dev_cc/text |
|
- text |
|
- text |
|
allow_variable_data_keys: false |
|
max_cache_size: 0.0 |
|
max_cache_fd: 32 |
|
allow_multi_rates: false |
|
valid_max_cache_size: null |
|
exclude_weight_decay: false |
|
exclude_weight_decay_conf: {} |
|
optim: adam |
|
optim_conf: |
|
lr: 0.002 |
|
scheduler: warmuplr |
|
scheduler_conf: |
|
warmup_steps: 25000 |
|
token_list: |
|
- <blank> |
|
- <unk> |
|
- <mask> |
|
- '|' |
|
- ー |
|
- ン |
|
- イ |
|
- ト |
|
- カ |
|
- ノ |
|
- <sp> |
|
- テ |
|
- デ |
|
- タ |
|
- シ |
|
- ス |
|
- ナ |
|
- ッ |
|
- コ |
|
- オ |
|
- ニ |
|
- マ |
|
- ワ |
|
- ガ |
|
- ク |
|
- モ |
|
- ー+F |
|
- ル |
|
- キ |
|
- レ |
|
- エ+F |
|
- ラ |
|
- リ |
|
- ア |
|
- ケ |
|
- ツ |
|
- ソ |
|
- ユ |
|
- ド |
|
- サ |
|
- セ |
|
- ヨ |
|
- ダ |
|
- エ |
|
- チ |
|
- ジ |
|
- ア+F |
|
- ノ+F |
|
- ネ |
|
- ホ |
|
- マ+F |
|
- ハ |
|
- ゴ |
|
- ミ |
|
- ロ |
|
- ブ |
|
- バ |
|
- ヤ |
|
- ヒ |
|
- メ |
|
- ウ |
|
- フ |
|
- ショ |
|
- ジョ |
|
- ジュ |
|
- ズ |
|
- ゲ |
|
- シュ |
|
- ム |
|
- チョ |
|
- ト+F |
|
- キョ |
|
- グ |
|
- パ |
|
- ベ |
|
- シャ |
|
- ゼ |
|
- ソ+F |
|
- ン+F |
|
- ギ |
|
- ザ |
|
- ビ |
|
- キュ |
|
- ボ |
|
- リョ |
|
- ヘ |
|
- ゾ |
|
- プ |
|
- ン+D |
|
- チュ |
|
- ジャ |
|
- ウ+F |
|
- オ+F |
|
- ッ+F |
|
- ヒョ |
|
- チャ |
|
- イ+D |
|
- ヌ |
|
- ス+D |
|
- ポ |
|
- ピ |
|
- ディ |
|
- ティ |
|
- ギョ |
|
- ニュ |
|
- オ+D |
|
- イ+F |
|
- ー+D |
|
- ヒャ |
|
- シ+D |
|
- ペ |
|
- ッ+D |
|
- ウ+D |
|
- ア+D |
|
- カ+D |
|
- キャ |
|
- ク+D |
|
- コ+D |
|
- ナ+D |
|
- ツ+D |
|
- エ+D |
|
- ト+D |
|
- ビョ |
|
- ジェ |
|
- リュ |
|
- タ+D |
|
- ピョ |
|
- ハ+D |
|
- ヒ+D |
|
- ファ |
|
- ノ+D |
|
- キ+D |
|
- ニ+D |
|
- ギャ |
|
- ハ+F |
|
- モ+D |
|
- フィ |
|
- ソ+D |
|
- フ+D |
|
- ワ+D |
|
- ホ+D |
|
- ジ+D |
|
- マ+D |
|
- ヨ+D |
|
- デ+D |
|
- サ+D |
|
- ガ+D |
|
- ユ+D |
|
- セ+D |
|
- フォ |
|
- ム+D |
|
- ダ+D |
|
- テ+D |
|
- チ+D |
|
- ヤ+D |
|
- ケ+D |
|
- トゥ |
|
- ル+D |
|
- ラ+D |
|
- ウォ |
|
- リャ |
|
- ミ+D |
|
- ド+D |
|
- シュ+D |
|
- リ+D |
|
- ズ+D |
|
- ヘ+F |
|
- ウェ |
|
- レ+D |
|
- ピュ |
|
- ブ+D |
|
- フェ |
|
- ミョ |
|
- グ+D |
|
- ヌ+D |
|
- トゥ+D |
|
- テュ |
|
- ヘ+D |
|
- ロ+D |
|
- チェ |
|
- ゴ+D |
|
- ジュ+D |
|
- ミュ |
|
- ビャ |
|
- ネ+F |
|
- ピャ |
|
- ショ+D |
|
- メ+D |
|
- ミャ |
|
- ギュ |
|
- ネ+D |
|
- バ+D |
|
- スィ |
|
- ゲ+D |
|
- ビュ |
|
- ニョ |
|
- ジョ+D |
|
- チョ+D |
|
- ス+F |
|
- ゼ+D |
|
- デ+F |
|
- キョ+D |
|
- ヤ+F |
|
- チュ+D |
|
- プ+D |
|
- ワ+F |
|
- ギ+D |
|
- ウィ |
|
- ベ+D |
|
- シェ |
|
- ボ+D |
|
- パ+D |
|
- ドゥ+D |
|
- ニャ |
|
- シャ+D |
|
- ドゥ |
|
- ザ+D |
|
- ヒョ+D |
|
- レ+F |
|
- ツォ |
|
- ビ+D |
|
- ド+F |
|
- ニュ+D |
|
- キュ+D |
|
- リョ+D |
|
- デュ |
|
- ヒュ |
|
- ディ+D |
|
- ゾ+D |
|
- ティ+D |
|
- フ+F |
|
- ラ+F |
|
- ナ+F |
|
- ピ+D |
|
- リュ+D |
|
- ヒャ+D |
|
- ジャ+D |
|
- ヒュ+D |
|
- チャ+D |
|
- ツァ |
|
- ポ+D |
|
- ニョ+D |
|
- ツェ |
|
- ヌ+F |
|
- ズィ |
|
- キャ+D |
|
- ホ+F |
|
- ペ+D |
|
- ヴィ |
|
- ツ+F |
|
- ギョ+D |
|
- ファ+D |
|
- ウェ+D |
|
- ウォ+D |
|
- ツォ+F |
|
- ジェ+D |
|
- メ+F |
|
- フィ+D |
|
- バ+F |
|
- ニャ+D |
|
- ギャ+D |
|
- ビョ+D |
|
- ツィ |
|
- フォ+D |
|
- スィ+D |
|
- ウィ+D |
|
- リャ+D |
|
- モ+F |
|
- チェ+D |
|
- フュ |
|
- テュ+D |
|
- ロ+F |
|
- デュ+D |
|
- シェ+D |
|
- イェ |
|
- ム+F |
|
- ニェ |
|
- ツォ+D |
|
- トゥ+F |
|
- カ+F |
|
- ミャ+D |
|
- ミョ+D |
|
- ギュ+D |
|
- ミュ+D |
|
- ツァ+D |
|
- フェ+D |
|
- ガ+F |
|
- クヮ |
|
- ヨ+F |
|
- テ+F |
|
- ヒ+F |
|
- ズィ+D |
|
- グヮ |
|
- ウェ+F |
|
- ビュ+D |
|
- イェ+D |
|
- ユ+F |
|
- イェ+F |
|
- ツェ+D |
|
- パ+F |
|
- ヴァ |
|
- チョ+F |
|
- ニョ+F |
|
- ダ+F |
|
- ニェ+D |
|
- ル+F |
|
- ゼ+F |
|
- ゾ+F |
|
- ニェ+F |
|
- リャ+F |
|
- ミャ+F |
|
- ヴェ |
|
- ショ+F |
|
- キャ+F |
|
- ゲ+F |
|
- ピュ+D |
|
- ク+F |
|
- ニャ+F |
|
- ケ+F |
|
- ヴ |
|
- チャ+F |
|
- タ+F |
|
- グ+F |
|
- ヴォ |
|
- ミェ |
|
- ヒャ+F |
|
- ファ+F |
|
- フェ+F |
|
- ビャ+D |
|
- ブ+F |
|
- ズ+F |
|
- ジェ+F |
|
- ピャ+D |
|
- ツィ+D |
|
- リ+F |
|
- セ+F |
|
- サ+F |
|
- ドゥ+F |
|
- ウォ+F |
|
- グヮ+D |
|
- ベ+F |
|
- ザ+F |
|
- クヮ+D |
|
- ヒェ+D |
|
- シ+F |
|
- フュ+D |
|
- ヴィ+D |
|
- テュ+F |
|
- ミェ+D |
|
- ボ+F |
|
- ジャ+F |
|
- ヴァ+D |
|
- ジ+F |
|
- チ+F |
|
- ゴ+F |
|
- ピョ+D |
|
- ヒェ |
|
- ニ+F |
|
- シュ+F |
|
- ミュ+F |
|
- <sos/eos> |
|
init: null |
|
input_size: null |
|
ctc_conf: |
|
dropout_rate: 0.0 |
|
ctc_type: builtin |
|
reduce: true |
|
ignore_nan_grad: null |
|
zero_infinity: true |
|
brctc_risk_strategy: exp |
|
brctc_group_strategy: end |
|
brctc_risk_factor: 0.0 |
|
joint_net_conf: |
|
joint_space_size: 640 |
|
use_preprocessor: true |
|
use_lang_prompt: false |
|
use_nlp_prompt: false |
|
token_type: word |
|
bpemodel: null |
|
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' |
|
short_noise_thres: 0.5 |
|
aux_ctc_tasks: [] |
|
frontend: default |
|
frontend_conf: |
|
hop_length: 132 |
|
fs: 16k |
|
specaug: specaug |
|
specaug_conf: |
|
apply_time_warp: true |
|
time_warp_window: 5 |
|
time_warp_mode: bicubic |
|
apply_freq_mask: true |
|
freq_mask_width_range: |
|
- 0 |
|
- 30 |
|
num_freq_mask: 2 |
|
apply_time_mask: true |
|
time_mask_width_range: |
|
- 0 |
|
- 40 |
|
num_time_mask: 2 |
|
normalize: global_mvn |
|
normalize_conf: |
|
stats_file: exp/asr_stats_raw_jp_word_cc0105/train/feats_stats.npz |
|
model: espnet |
|
model_conf: |
|
ctc_weight: 0.0 |
|
report_cer: true |
|
report_wer: true |
|
preencoder: null |
|
preencoder_conf: {} |
|
encoder: contextual_block_conformer |
|
encoder_conf: |
|
output_size: 256 |
|
attention_heads: 4 |
|
linear_units: 2048 |
|
num_blocks: 12 |
|
dropout_rate: 0.1 |
|
positional_dropout_rate: 0.1 |
|
attention_dropout_rate: 0.0 |
|
input_layer: conv2d |
|
normalize_before: true |
|
activation_type: swish |
|
macaron_style: true |
|
use_cnn_module: true |
|
cnn_module_kernel: 15 |
|
block_size: 18 |
|
hop_size: 3 |
|
look_ahead: 3 |
|
init_average: true |
|
ctx_pos_enc: true |
|
postencoder: null |
|
postencoder_conf: {} |
|
decoder: transducer |
|
decoder_conf: |
|
rnn_type: lstm |
|
num_layers: 1 |
|
hidden_size: 512 |
|
dropout: 0.1 |
|
dropout_embed: 0.2 |
|
preprocessor: default |
|
preprocessor_conf: {} |
|
required: |
|
- output_dir |
|
- token_list |
|
version: '202402' |
|
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} |
|
} |
|
``` |
|
|
