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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: fr |
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datasets: |
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- commonvoice |
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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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### `espnet/french_commonvoice_blstm` |
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This model was trained by dzeinali using commonvoice recipe in [espnet](https://github.com/espnet/espnet/). |
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### Demo: How to use in ESPnet2 |
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```bash |
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cd espnet |
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git checkout 716eb8f92e19708acfd08ba3bd39d40890d3a84b |
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pip install -e . |
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cd egs2/commonvoice/asr1 |
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./run.sh --skip_data_prep false --skip_train true --download_model espnet/french_commonvoice_blstm |
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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: `Fri Apr 29 17:20:37 EDT 2022` |
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- python version: `3.9.5 (default, Jun 4 2021, 12:28:51) [GCC 7.5.0]` |
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- espnet version: `espnet 0.10.6a1` |
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- pytorch version: `pytorch 1.8.1+cu102` |
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- Git hash: `716eb8f92e19708acfd08ba3bd39d40890d3a84b` |
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- Commit date: `Thu Apr 28 19:50:59 2022 -0400` |
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## asr_train_asr_rnn_raw_fr_bpe350_sp |
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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_rnn_asr_model_valid.acc.best/test_fr|15621|151227|75.1|22.6|2.3|2.3|27.2|81.0| |
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|
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### CER |
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|
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
|
|---|---|---|---|---|---|---|---|---| |
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|decode_rnn_asr_model_valid.acc.best/test_fr|15621|952803|92.9|3.6|3.5|2.0|9.1|81.0| |
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### TER |
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
|
|---|---|---|---|---|---|---|---|---| |
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|decode_rnn_asr_model_valid.acc.best/test_fr|15621|730898|89.9|6.5|3.6|1.9|12.0|81.0| |
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|
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## ASR config |
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<details><summary>expand</summary> |
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``` |
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config: conf/tuning/train_asr_rnn.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_rnn_raw_fr_bpe350_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: 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: 15 |
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patience: 3 |
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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: |
|
- - train |
|
- loss |
|
- min |
|
- - valid |
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- loss |
|
- min |
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- - train |
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- acc |
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- max |
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- - valid |
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- acc |
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- max |
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keep_nbest_models: |
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- 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: 1 |
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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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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: 30 |
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valid_batch_size: null |
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batch_bins: 1000000 |
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valid_batch_bins: null |
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train_shape_file: |
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- exp/asr_stats_raw_fr_bpe350_sp/train/speech_shape |
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- exp/asr_stats_raw_fr_bpe350_sp/train/text_shape.bpe |
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valid_shape_file: |
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- exp/asr_stats_raw_fr_bpe350_sp/valid/speech_shape |
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- exp/asr_stats_raw_fr_bpe350_sp/valid/text_shape.bpe |
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batch_type: folded |
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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_fr_sp/wav.scp |
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- speech |
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- sound |
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- - dump/raw/train_fr_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/dev_fr/wav.scp |
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- speech |
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- sound |
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- - dump/raw/dev_fr/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: adadelta |
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optim_conf: |
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lr: 0.1 |
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scheduler: null |
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scheduler_conf: {} |
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token_list: |
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- <blank> |
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- <unk> |
|
- S |
|
- ▁ |
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- E |
|
- I |
|
- T |
|
- A |
|
- U |
|
- O |
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- . |
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- L |
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- R |
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- é |
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- P |
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- C |
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- V |
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- 'ON' |
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- M |
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- ▁DE |
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- ',' |
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- N |
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- ▁S |
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- D |
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- IN |
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- '''' |
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- OU |
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- ▁D |
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- G |
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- IS |
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- ▁P |
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- ER |
|
- ▁C |
|
- ▁L |
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- ▁LA |
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- B |
|
- ▁" |
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- ▁A |
|
- RE |
|
- AN |
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- ." |
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- ▁M |
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- ▁F |
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- '-' |
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- F |
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- ▁T |
|
- ES |
|
- ENT |
|
- ▁LE |
|
- EN |
|
- IT |
|
- LE |
|
- ▁N |
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- è |
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- H |
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- ’ |
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- Y |
|
- X |
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- Z |
|
- K |
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- J |
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- ê |
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- '?' |
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- '!' |
|
- É |
|
- ç |
|
- W |
|
- à |
|
- ô |
|
- â |
|
- Q |
|
- î |
|
- À |
|
- '"' |
|
- œ |
|
- û |
|
- ù |
|
- ï |
|
- ':' |
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- ; |
|
- — |
|
- È |
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- « |
|
- » |
|
- Ç |
|
- Ê |
|
- ë |
|
- á |
|
- ü |
|
- í |
|
- ö |
|
- ó |
|
- ) |
|
- Î |
|
- Â |
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- ō |
|
- ä |
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- – |
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- Ô |
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- ć |
|
- š |
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- '&' |
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- ñ |
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- '=' |
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- ł |
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- č |
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- Û |
|
- ú |
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- ū |
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- ø |
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- ā |
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- ã |
|
- ă |
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- / |
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- ń |
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- _ |
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- ș |
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- å |
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- æ |
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- ° |
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- ß |
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- “ |
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- ” |
|
- ž |
|
- ı |
|
- Œ |
|
- Ö |
|
- ř |
|
- Š |
|
- ý |
|
- Ō |
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- ‘ |
|
- ş |
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- · |
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- o |
|
- ę |
|
- ÿ |
|
- Å |
|
- ą |
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- ð |
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- ī |
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- ò |
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- ż |
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- ě |
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- ś |
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- '`' |
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- Ë |
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- ì |
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- ē |
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- ğ |
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- İ |
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- '*' |
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- Í |
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- ė |
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- Ó |
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- ő |
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- đ |
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- ʻ |
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- Ü |
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- õ |
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- Ä |
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- ņ |
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- ṣ |
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- '|' |
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- ʾ |
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- π |
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- Ā |
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- σ |
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- '%' |
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- ả |
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- κ |
|
- ʼ |
|
- ň |
|
- Ú |
|
- ļ |
|
- ư |
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- '1' |
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- '2' |
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- '}' |
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- ĩ |
|
- Ҫ |
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- ا |
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- ầ |
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- ⁄ |
|
- ṇ |
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- þ |
|
- ǎ |
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- ο |
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- ′ |
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- s |
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- § |
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- ľ |
|
- ǹ |
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- Ʉ |
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- ː |
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- ̱ |
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- γ |
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- ν |
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- ن |
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- ạ |
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- ễ |
|
- ộ |
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- ≥ |
|
- 星 |
|
- ề |
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- ṯ |
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- τ |
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- δ |
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- Δ |
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- Ț |
|
- Ș |
|
- Ū |
|
- Ř |
|
- ∆ |
|
- → |
|
- ệ |
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- Г |
|
- ơ |
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- ţ |
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- Þ |
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- Ñ |
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- ± |
|
- ť |
|
- ŏ |
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- € |
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- „ |
|
- ʿ |
|
- Ć |
|
- £ |
|
- α |
|
- Ż |
|
- Ş |
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- β |
|
- ź |
|
- Đ |
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- Ø |
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- Ś |
|
- Ž |
|
- Æ |
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- $ |
|
- Ï |
|
- Ł |
|
- ț |
|
- Č |
|
- Á |
|
- ́ |
|
- Ù |
|
- Μ |
|
- ι |
|
- ρ |
|
- ό |
|
- И |
|
- з |
|
- 京 |
|
- 北 |
|
- ď |
|
- Ġ |
|
- Ṭ |
|
- − |
|
- ☉ |
|
- '~' |
|
- ® |
|
- Ì |
|
- Ò |
|
- Õ |
|
- × |
|
- ħ |
|
- ĺ |
|
- Ľ |
|
- ũ |
|
- ů |
|
- Ų |
|
- ǃ |
|
- ǔ |
|
- ̠ |
|
- ̲ |
|
- Κ |
|
- Π |
|
- ε |
|
- ζ |
|
- μ |
|
- ς |
|
- υ |
|
- ψ |
|
- І |
|
- Ј |
|
- А |
|
- Е |
|
- П |
|
- а |
|
- е |
|
- м |
|
- н |
|
- Գ |
|
- Զ |
|
- ب |
|
- د |
|
- ر |
|
- ل |
|
- و |
|
- ي |
|
- ወ |
|
- ደ |
|
- ḍ |
|
- ṅ |
|
- ṭ |
|
- ậ |
|
- ắ |
|
- ẵ |
|
- ị |
|
- ồ |
|
- ờ |
|
- ợ |
|
- ủ |
|
- ‐ |
|
- ― |
|
- † |
|
- ‹ |
|
- › |
|
- ₽ |
|
- ∈ |
|
- ∞ |
|
- ─ |
|
- い |
|
- う |
|
- た |
|
- つ |
|
- へ |
|
- ま |
|
- め |
|
- や |
|
- ゔ |
|
- 扬 |
|
- 术 |
|
- 美 |
|
- 貴 |
|
- 青 |
|
- 馆 |
|
- Ꝑ |
|
- ̐ |
|
- Ω |
|
- ử |
|
- ỳ |
|
- ∨ |
|
- 乃 |
|
- 杜 |
|
- ( |
|
- Ē |
|
- ǫ |
|
- <sos/eos> |
|
init: null |
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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: true |
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joint_net_conf: null |
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model_conf: |
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ctc_weight: 0.5 |
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use_preprocessor: true |
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token_type: bpe |
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bpemodel: data/fr_token_list/bpe_unigram350/bpe.model |
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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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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 |
|
apply_freq_mask: true |
|
freq_mask_width_range: |
|
- 0 |
|
- 27 |
|
num_freq_mask: 2 |
|
apply_time_mask: true |
|
time_mask_width_ratio_range: |
|
- 0.0 |
|
- 0.05 |
|
num_time_mask: 2 |
|
normalize: global_mvn |
|
normalize_conf: |
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stats_file: exp/asr_stats_raw_fr_bpe350_sp/train/feats_stats.npz |
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preencoder: null |
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preencoder_conf: {} |
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encoder: vgg_rnn |
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encoder_conf: |
|
rnn_type: lstm |
|
bidirectional: true |
|
use_projection: true |
|
num_layers: 4 |
|
hidden_size: 1024 |
|
output_size: 1024 |
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postencoder: null |
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postencoder_conf: {} |
|
decoder: rnn |
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decoder_conf: |
|
num_layers: 2 |
|
hidden_size: 1024 |
|
sampling_probability: 0 |
|
att_conf: |
|
atype: location |
|
adim: 1024 |
|
aconv_chans: 10 |
|
aconv_filts: 100 |
|
required: |
|
- output_dir |
|
- token_list |
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version: 0.10.6a1 |
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distributed: false |
|
``` |
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</details> |
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|
|
### Citing ESPnet |
|
|
|
```BibTex |
|
@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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``` |
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or arXiv: |
|
|
|
```bibtex |
|
@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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