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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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- accented french (openslr56) |
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license: cc-by-4.0 |
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--- |
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## ESPnet2 model |
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This model was trained by Dan Berrebbi using recipe in [espnet](https://github.com/espnet/espnet/). |
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# RESULTS |
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## Environments |
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- date: `Sat Apr 16 14:14:45 EDT 2022` |
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- python version: `3.9.12 (main, Apr 5 2022, 06:56:58) [GCC 7.5.0]` |
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- espnet version: `espnet 0.10.6a1` |
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- pytorch version: `pytorch 1.11.0+cu102` |
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- Git hash: `f6cbc61353e0a1cefe81ae596278f7db1f0b7dd9` |
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- Commit date: `Fri Apr 15 18:31:26 2022 -0400` |
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- Model on HuggingFace repository : https://huggingface.co/espnet/accented_french_openslr57_ASR_transformer |
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## asr_transformer_baseline |
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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.ave_10best/devtest|481|3172|97.4|1.6|1.0|0.2|2.8|15.0| |
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|decode_asr_asr_model_valid.acc.ave_10best/test|515|2941|85.2|13.4|1.3|9.1|23.9|58.4| |
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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.ave_10best/devtest|481|16205|98.7|0.2|1.1|0.2|1.5|15.0| |
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|decode_asr_asr_model_valid.acc.ave_10best/test|515|16233|95.8|2.0|2.2|2.1|6.3|58.4| |
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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.ave_10best/devtest|481|7555|98.1|0.6|1.4|0.3|2.2|15.0| |
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|decode_asr_asr_model_valid.acc.ave_10best/test|515|7998|88.9|6.7|4.5|1.3|12.4|58.4| |
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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_transformer.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_transformer_baseline |
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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: 100 |
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patience: 15 |
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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 |
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grad_clip_type: 2.0 |
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grad_noise: false |
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accum_grad: 4 |
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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: 16 |
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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_bpe250/train/speech_shape |
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- exp/asr_stats_raw_bpe250/train/text_shape.bpe |
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valid_shape_file: |
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- exp/asr_stats_raw_bpe250/valid/speech_shape |
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- exp/asr_stats_raw_bpe250/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/wav.scp |
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- speech |
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- sound |
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- - dump/raw/train/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/wav.scp |
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- speech |
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- sound |
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- - dump/raw/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: 1 |
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scheduler: noamlr |
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scheduler_conf: |
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warmup_steps: 4000 |
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token_list: |
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- <blank> |
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- <unk> |
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- ▁ |
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- s |
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- u |
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- t |
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- '''' |
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- i |
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- r |
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- e |
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- a |
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- ▁est |
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- o |
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- ▁de |
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- l |
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- ▁a |
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- c |
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- é |
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- '-' |
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- n |
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- ▁d |
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- re |
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- ▁l |
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- ▁la |
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- m |
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- ▁que |
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- ▁n |
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- ce |
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- ▁le |
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- d |
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- ▁c |
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- ▁il |
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- 'on' |
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- p |
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- à |
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- ▁qui |
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- it |
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- ▁f |
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- is |
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- te |
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- ▁qu |
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- ▁un |
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- in |
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- ▁pas |
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- ▁ne |
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- ▁vous |
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- er |
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- ▁les |
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- ▁et |
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- en |
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- ▁ma |
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- ▁se |
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- ▁en |
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- ▁on |
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- f |
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- ent |
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- b |
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- ▁p |
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- ▁t |
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- ra |
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- ▁b |
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- ▁vo |
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- che |
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- ez |
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- ro |
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- le |
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- eur |
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- ne |
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- ▁m |
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- il |
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- or |
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- ▁vi |
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- vous |
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- ▁sa |
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- tre |
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- es |
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- ▁bien |
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- ie |
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- ▁ou |
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- ▁au |
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- ▁par |
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- ▁pa |
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- ▁h |
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- ir |
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- ▁bon |
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- ille |
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- me |
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- ▁ce |
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- ▁y |
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- ▁fait |
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- ▁des |
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- eau |
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- ▁avez |
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- and |
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- ur |
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- ant |
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- ▁du |
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- ▁mo |
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- h |
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- ▁co |
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- ▁plus |
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- ▁pour |
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- ▁une |
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- ▁je |
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- ▁faut |
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- ier |
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- sse |
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- ▁é |
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- eux |
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- nt |
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- ▁re |
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- ▁cha |
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- ▁sont |
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- que |
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- age |
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- ▁tout |
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- de |
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- y |
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- ▁son |
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- ▁tou |
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- â |
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- elle |
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- ée |
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- ▁dans |
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- ▁personne |
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- ▁va |
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- ▁pr |
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- ▁dé |
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- ▁con |
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- ▁ave |
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- ▁si |
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- aux |
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- ▁mais |
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- ▁me |
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- ▁peut |
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- ▁po |
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- nge |
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- ▁ba |
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- ▁comme |
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- ter |
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- ▁jamais |
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- ine |
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- ▁ch |
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- ▁quelle |
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- ▁j |
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- ▁mieux |
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- ment |
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- ion |
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- ette |
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- ▁cett |
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- ▁faire |
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- ▁vaut |
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- aire |
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- z |
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- ▁sur |
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- ▁homme |
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- ▁soi |
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- ▁mon |
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- ▁rien |
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- ▁nous |
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- ▁autre |
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- ▁perd |
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- ▁bou |
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- ▁combien |
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- ▁parle |
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- ▁donne |
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- omp |
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- ▁deux |
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- oir |
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- ▁ici |
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- ▁peu |
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- ▁grand |
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- ▁sou |
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- jours |
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- ▁pro |
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- sans |
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- ▁petit |
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- ▁femme |
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- ard |
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- ▁bonne |
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- ix |
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- use |
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- q |
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- ▁ami |
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- ▁êtes |
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- ▁point |
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- ▁être |
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- ▁prend |
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- ▁enfant |
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- ▁cour |
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- ▁mauvais |
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- ▁médecin |
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- ement |
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- ô |
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- û |
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- ▁veut |
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- ▁trop |
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- ation |
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- able |
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- ▁euh |
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- ▁fou |
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- jou |
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- ▁temps |
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- ▁allez |
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- ▁app |
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- x |
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- ▁chien |
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- ▁ça |
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- ▁doit |
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- ▁aller |
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- avoir |
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- puis |
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- ▁plai |
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- j |
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- ▁dire |
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- ▁maître |
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- ance |
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- éri |
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- ▁cheval |
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- ▁mort |
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- ▁monsieur |
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- ▁sui |
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- ▁fois |
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- ▁porte |
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- ▁alors |
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- ▁quelqu |
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- ▁couleur |
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- ▁arrive |
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- ▁besoin |
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- ▁chose |
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- ▁souvent |
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- ▁rend |
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- ▁plaît |
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- ▁bonjour |
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- ç |
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- ï |
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- / |
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- w |
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- œ |
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- k |
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- ù |
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- î |
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- ê |
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- è |
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- g |
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- F |
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- P |
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- A |
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- v |
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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: true |
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joint_net_conf: null |
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model_conf: |
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ctc_weight: 0.3 |
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lsm_weight: 0.1 |
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length_normalized_loss: false |
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use_preprocessor: true |
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token_type: bpe |
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bpemodel: data/token_list/bpe_unigram250/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 |
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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 |
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- 40 |
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num_time_mask: 2 |
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normalize: utterance_mvn |
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normalize_conf: {} |
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preencoder: null |
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preencoder_conf: {} |
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encoder: transformer |
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encoder_conf: |
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input_layer: conv2d2 |
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num_blocks: 12 |
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linear_units: 2048 |
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dropout_rate: 0.1 |
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output_size: 256 |
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attention_heads: 4 |
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attention_dropout_rate: 0.0 |
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postencoder: null |
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postencoder_conf: {} |
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decoder: transformer |
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decoder_conf: |
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input_layer: embed |
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num_blocks: 6 |
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linear_units: 2048 |
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dropout_rate: 0.1 |
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required: |
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- output_dir |
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- token_list |
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version: 0.10.6a1 |
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distributed: false |
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``` |
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</details> |
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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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