ESPnet2 pretrained model, Pavel Denisov/swbd_da_asr_train_asr_raw_en_word_sp_valid.loss.ave, fs=16k, lang=en
Creators: name: Denisov, Pavel
Publisher: name: Zenodo
Year: 2022
Subjects: ESPnet
deep-learning
python
pytorch
speech-recognition
speech-synthesis
speech-translation
machine-translation

description: This model was trained by Pavel Denisov using swbd_da recipe in espnet. <strong>Python API</strong><pre><code class="language-python">See https://github.com/espnet/espnet_model_zoo</code></pre> <strong>Evaluate in the recipe</strong><pre><code class="language-bash">git clone https://github.com/espnet/espnet cd espnet git checkout c8a83e12a9ae14c9f9f92dbd9a728e4a5c7e6d56 pip install -e . cd egs2/swbd_da/asr1 ./run.sh --skip_data_prep false --skip_train true --download_model Pavel Denisov/swbd_da_asr_train_asr_raw_en_word_sp_valid.loss.ave</code> </pre> <strong>Results</strong><pre><code> # RESULTS ## Environments - date: `Thu Dec 30 23:11:45 CET 2021` - python version: `3.8.12 (default, Aug 30 2021, 00:00:00) [GCC 11.2.1 20210728 (Red Hat 11.2.1-1)]` - espnet version: `espnet 0.10.5a1` - pytorch version: `pytorch 1.10.1+cu113` - Git hash: `c8a83e12a9ae14c9f9f92dbd9a728e4a5c7e6d56` - Commit date: `Sun Dec 26 23:28:06 2021 +0100` ## asr_train_asr_conformer_hubert_context3_raw_en_word_sp ### WER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_asr_model_valid.loss.ave/test_context3|2379|2379|66.3|33.7|0.0|0.0|33.7|33.7| |decode_asr_asr_model_valid.loss.ave/valid_context3|8116|8116|69.5|30.5|0.0|0.0|30.5|30.5| ### CER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_asr_model_valid.loss.ave/test_context3|2379|19440|76.1|17.7|6.2|8.1|32.0|33.7| |decode_asr_asr_model_valid.loss.ave/valid_context3|8116|66353|79.5|16.1|4.4|8.0|28.5|30.5| ### TER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---|</code></pre> <strong>ASR config</strong><pre><code>config: conf/tuning/train_asr_conformer_hubert_context3.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/asr_train_asr_conformer_hubert_context3_raw_en_word_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: 35 patience: null val_scheduler_criterion: - valid - loss early_stopping_criterion: - valid - loss - min best_model_criterion: - - valid - loss - min keep_nbest_models: 7 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: - frontend.upstream num_iters_per_epoch: null batch_size: 20 valid_batch_size: null batch_bins: 4000000 valid_batch_bins: null train_shape_file: - exp/asr_stats_context3_raw_en_word_sp/train/speech_shape - exp/asr_stats_context3_raw_en_word_sp/train/text_shape.word valid_shape_file: - exp/asr_stats_context3_raw_en_word_sp/valid/speech_shape - exp/asr_stats_context3_raw_en_word_sp/valid/text_shape.word batch_type: numel 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_context3_sp/wav.scp - speech - sound - - dump/raw/train_context3_sp/text - text - text valid_data_path_and_name_and_type: - - dump/raw/valid_context3/wav.scp - speech - sound - - dump/raw/valid_context3/text - text - text allow_variable_data_keys: false max_cache_size: 0.0 max_cache_fd: 32 valid_max_cache_size: null optim: adam optim_conf: lr: 0.0001 scheduler: warmuplr scheduler_conf: warmup_steps: 25000 token_list: - - - statement - backchannel - opinion - abandon - agree - yn_q - apprec - 'yes' - uninterp - close - wh_q - acknowledge - 'no' - yn_decl_q - hedge - backchannel_q - sum - quote - affirm - other - directive - repeat - open_q - completion - rhet_q - hold - reject - answer - neg - ans_dispref - repeat_q - open - or - commit - maybe - decl_q - third_pty - self_talk - thank - apology - tag_q - downplay - 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: 0.0 extract_feats_in_collect_stats: false use_preprocessor: true 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' frontend: s3prl frontend_conf: frontend_conf: upstream: hubert_large_ll60k download_dir: ./hub multilayer_feature: true 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: utterance_mvn normalize_conf: {} preencoder: linear preencoder_conf: input_size: 1024 output_size: 80 encoder: conformer encoder_conf: output_size: 512 attention_heads: 8 linear_units: 2048 num_blocks: 12 dropout_rate: 0.1 positional_dropout_rate: 0.1 attention_dropout_rate: 0.1 input_layer: conv2d normalize_before: true macaron_style: true pos_enc_layer_type: rel_pos selfattention_layer_type: rel_selfattn activation_type: swish use_cnn_module: true cnn_module_kernel: 31 postencoder: null postencoder_conf: {} decoder: transformer decoder_conf: attention_heads: 8 linear_units: 2048 num_blocks: 6 dropout_rate: 0.1 positional_dropout_rate: 0.1 self_attention_dropout_rate: 0.1 src_attention_dropout_rate: 0.1 required: - output_dir - token_list version: 0.10.5a1 distributed: false</code></pre> <strong>LM config</strong><pre><code>NONE</code></pre>