| | --- |
| | tags: |
| | - espnet |
| | - audio |
| | - automatic-speech-recognition |
| | language: ta |
| | datasets: |
| | - commonvoice |
| | license: cc-by-4.0 |
| | --- |
| | |
| | ## ESPnet2 ASR model |
| |
|
| | ### `espnet/tamil_commonvoice_blstm` |
| |
|
| | This model was trained by dzeinali using commonvoice recipe in [espnet](https://github.com/espnet/espnet/). |
| |
|
| | ### Demo: How to use in ESPnet2 |
| |
|
| | ```bash |
| | cd espnet |
| | git checkout 716eb8f92e19708acfd08ba3bd39d40890d3a84b |
| | pip install -e . |
| | cd egs2/commonvoice/asr1 |
| | ./run.sh --skip_data_prep false --skip_train true --download_model espnet/tamil_commonvoice_blstm |
| | ``` |
| |
|
| | <!-- Generated by scripts/utils/show_asr_result.sh --> |
| | # RESULTS |
| | ## Environments |
| | - date: `Mon May 2 11:41:47 EDT 2022` |
| | - python version: `3.9.5 (default, Jun 4 2021, 12:28:51) [GCC 7.5.0]` |
| | - espnet version: `espnet 0.10.6a1` |
| | - pytorch version: `pytorch 1.8.1+cu102` |
| | - Git hash: `716eb8f92e19708acfd08ba3bd39d40890d3a84b` |
| | - Commit date: `Thu Apr 28 19:50:59 2022 -0400` |
| |
|
| | ## asr_train_asr_rnn_raw_ta_bpe150_sp |
| | ### WER |
| | |
| | |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
| | |---|---|---|---|---|---|---|---|---| |
| | |decode_rnn_asr_model_valid.acc.ave/test_ta|11499|72228|66.0|30.5|3.5|3.2|37.2|79.7| |
| |
|
| | ### CER |
| |
|
| | |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
| | |---|---|---|---|---|---|---|---|---| |
| | |decode_rnn_asr_model_valid.acc.ave/test_ta|11499|638106|93.5|3.8|2.7|1.8|8.3|79.9| |
| | |
| | ### TER |
| | |
| | |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |
| | |---|---|---|---|---|---|---|---|---| |
| | |decode_rnn_asr_model_valid.acc.ave/test_ta|11499|422957|89.8|7.0|3.2|1.8|12.0|79.8| |
| |
|
| | ## ASR config |
| |
|
| | <details><summary>expand</summary> |
| |
|
| | ``` |
| | config: conf/tuning/train_asr_rnn.yaml |
| | print_config: false |
| | log_level: INFO |
| | dry_run: false |
| | iterator_type: sequence |
| | output_dir: exp/asr_train_asr_rnn_raw_ta_bpe150_sp |
| | ngpu: 1 |
| | seed: 0 |
| | num_workers: 1 |
| | num_att_plot: 3 |
| | dist_backend: nccl |
| | dist_init_method: env:// |
| | dist_world_size: null |
| | dist_rank: null |
| | local_rank: 0 |
| | dist_master_addr: null |
| | dist_master_port: null |
| | dist_launcher: null |
| | multiprocessing_distributed: false |
| | unused_parameters: false |
| | sharded_ddp: false |
| | cudnn_enabled: true |
| | cudnn_benchmark: false |
| | cudnn_deterministic: true |
| | collect_stats: false |
| | write_collected_feats: false |
| | max_epoch: 15 |
| | patience: 3 |
| | val_scheduler_criterion: |
| | - valid |
| | - loss |
| | early_stopping_criterion: |
| | - valid |
| | - loss |
| | - min |
| | best_model_criterion: |
| | - - train |
| | - loss |
| | - min |
| | - - valid |
| | - loss |
| | - min |
| | - - train |
| | - acc |
| | - max |
| | - - valid |
| | - acc |
| | - max |
| | keep_nbest_models: |
| | - 10 |
| | nbest_averaging_interval: 0 |
| | grad_clip: 5.0 |
| | grad_clip_type: 2.0 |
| | grad_noise: false |
| | accum_grad: 1 |
| | no_forward_run: false |
| | resume: true |
| | train_dtype: float32 |
| | use_amp: false |
| | log_interval: null |
| | use_matplotlib: true |
| | use_tensorboard: true |
| | use_wandb: false |
| | wandb_project: null |
| | wandb_id: null |
| | wandb_entity: null |
| | wandb_name: null |
| | wandb_model_log_interval: -1 |
| | detect_anomaly: false |
| | pretrain_path: null |
| | init_param: [] |
| | ignore_init_mismatch: false |
| | freeze_param: [] |
| | num_iters_per_epoch: null |
| | batch_size: 30 |
| | valid_batch_size: null |
| | batch_bins: 1000000 |
| | valid_batch_bins: null |
| | train_shape_file: |
| | - exp/asr_stats_raw_ta_bpe150_sp/train/speech_shape |
| | - exp/asr_stats_raw_ta_bpe150_sp/train/text_shape.bpe |
| | valid_shape_file: |
| | - exp/asr_stats_raw_ta_bpe150_sp/valid/speech_shape |
| | - exp/asr_stats_raw_ta_bpe150_sp/valid/text_shape.bpe |
| | batch_type: folded |
| | valid_batch_type: null |
| | fold_length: |
| | - 80000 |
| | - 150 |
| | sort_in_batch: descending |
| | sort_batch: descending |
| | multiple_iterator: false |
| | chunk_length: 500 |
| | chunk_shift_ratio: 0.5 |
| | num_cache_chunks: 1024 |
| | train_data_path_and_name_and_type: |
| | - - dump/raw/train_ta_sp/wav.scp |
| | - speech |
| | - sound |
| | - - dump/raw/train_ta_sp/text |
| | - text |
| | - text |
| | valid_data_path_and_name_and_type: |
| | - - dump/raw/dev_ta/wav.scp |
| | - speech |
| | - sound |
| | - - dump/raw/dev_ta/text |
| | - text |
| | - text |
| | allow_variable_data_keys: false |
| | max_cache_size: 0.0 |
| | max_cache_fd: 32 |
| | valid_max_cache_size: null |
| | optim: adadelta |
| | optim_conf: |
| | lr: 0.1 |
| | scheduler: null |
| | scheduler_conf: {} |
| | token_list: |
| | - <blank> |
| | - <unk> |
| | - ி |
| | - ு |
| | - ா |
| | - வ |
| | - ை |
| | - ர |
| | - ன |
| | - ▁ப |
| | - . |
| | - ▁க |
| | - ் |
| | - ▁அ |
| | - ட |
| | - த |
| | - க |
| | - ே |
| | - ம |
| | - ல |
| | - ம் |
| | - ன் |
| | - ும் |
| | - ய |
| | - ▁வ |
| | - க்க |
| | - ▁இ |
| | - ▁த |
| | - த்த |
| | - ▁ |
| | - து |
| | - ந்த |
| | - ப |
| | - ▁ச |
| | - ிய |
| | - ▁ம |
| | - ோ |
| | - ெ |
| | - ர் |
| | - ரு |
| | - ழ |
| | - ப்ப |
| | - ண |
| | - ொ |
| | - ▁ந |
| | - ட்ட |
| | - ▁எ |
| | - ற |
| | - ைய |
| | - ச |
| | - ள |
| | - க் |
| | - ில் |
| | - ங்க |
| | - ',' |
| | - ண்ட |
| | - ▁உ |
| | - ன்ற |
| | - ார் |
| | - ப் |
| | - ூ |
| | - ல் |
| | - ள் |
| | - கள |
| | - கள் |
| | - ாக |
| | - ற்ற |
| | - டு |
| | - ீ |
| | - ந |
| | - '!' |
| | - '?' |
| | - '"' |
| | - ஏ |
| | - ஸ |
| | - ஞ |
| | - ஷ |
| | - ஜ |
| | - ஓ |
| | - '-' |
| | - ஐ |
| | - ஹ |
| | - A |
| | - E |
| | - ங |
| | - R |
| | - N |
| | - ஈ |
| | - ஃ |
| | - O |
| | - I |
| | - ; |
| | - S |
| | - T |
| | - L |
| | - எ |
| | - இ |
| | - அ |
| | - H |
| | - C |
| | - D |
| | - M |
| | - U |
| | - உ |
| | - B |
| | - G |
| | - P |
| | - Y |
| | - '''' |
| | - ௌ |
| | - K |
| | - ':' |
| | - W |
| | - ஆ |
| | - F |
| | - — |
| | - V |
| | - ” |
| | - J |
| | - Z |
| | - ’ |
| | - ‘ |
| | - X |
| | - Q |
| | - ( |
| | - ) |
| | - · |
| | - – |
| | - ⁄ |
| | - '3' |
| | - '4' |
| | - ◯ |
| | - _ |
| | - '&' |
| | - ௗ |
| | - • |
| | - '`' |
| | - ஔ |
| | - “ |
| | - ஊ |
| | - š |
| | - ഥ |
| | - '1' |
| | - '2' |
| | - á |
| | - ‚ |
| | - é |
| | - ô |
| | - ஒ |
| | - <sos/eos> |
| | init: null |
| | input_size: null |
| | ctc_conf: |
| | dropout_rate: 0.0 |
| | ctc_type: builtin |
| | reduce: true |
| | ignore_nan_grad: true |
| | joint_net_conf: null |
| | model_conf: |
| | ctc_weight: 0.5 |
| | use_preprocessor: true |
| | token_type: bpe |
| | bpemodel: data/ta_token_list/bpe_unigram150/bpe.model |
| | 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' |
| | frontend: default |
| | frontend_conf: |
| | 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 |
| | - 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: |
| | stats_file: exp/asr_stats_raw_ta_bpe150_sp/train/feats_stats.npz |
| | preencoder: null |
| | preencoder_conf: {} |
| | encoder: vgg_rnn |
| | encoder_conf: |
| | rnn_type: lstm |
| | bidirectional: true |
| | use_projection: true |
| | num_layers: 4 |
| | hidden_size: 1024 |
| | output_size: 1024 |
| | postencoder: null |
| | postencoder_conf: {} |
| | decoder: rnn |
| | 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 |
| | version: 0.10.6a1 |
| | 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} |
| | } |
| | ``` |
| |
|
