ESPnet2 pretrained model, simpleoier/wsj_asr_train_asr_conformer_s3prlfrontend_hubert_raw_en_char_valid.acc.best, fs=16k, lang=en
Creators: name: Simpleoier
Publisher: name: Zenodo
Year: 2021
Subjects: ESPnet
deep-learning
python
pytorch
speech-recognition
speech-synthesis
speech-translation
machine-translation

description: This model was trained by simpleoier using wsj 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 05a7d399f37a54659f42739c859d5b85cad9cdc6 pip install -e . cd egs2/wsj/asr1 ./run.sh --skip_data_prep false --skip_train true --download_model simpleoier/wsj_asr_train_asr_conformer_s3prlfrontend_hubert_raw_en_char_valid.acc.best</code> </pre> <strong>Results</strong> <pre><code> # RESULTS ## Environments - date: `Thu Jul 15 02:41:00 EDT 2021` - python version: `3.7.10 (default, Feb 26 2021, 18:47:35) [GCC 7.3.0]` - espnet version: `espnet 0.10.0` - pytorch version: `pytorch 1.8.0` - Git hash: `3a898e0ef5afb47c7afcc9600f754908f90a9518` - Commit date: `Thu Jul 15 00:11:41 2021 -0400` ## asr_train_asr_conformer_s3prlfrontend_hubert_raw_en_char ### WER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_lm_lm_train_lm_transformer_en_char_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|8234|97.2|2.5|0.3|0.4|3.1|33.2| |decode_lm_lm_train_lm_transformer_en_char_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|5643|98.4|1.6|0.1|0.2|1.8|22.2| ### CER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_lm_lm_train_lm_transformer_en_char_valid.loss.ave_asr_model_valid.acc.ave/test_dev93|503|48634|99.0|0.3|0.7|0.2|1.2|43.7| |decode_lm_lm_train_lm_transformer_en_char_valid.loss.ave_asr_model_valid.acc.ave/test_eval92|333|33341|99.4|0.2|0.4|0.1|0.7|35.4| ### 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_s3prlfrontend_hubert.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/asr_train_asr_conformer_s3prlfrontend_hubert_raw_en_char ngpu: 1 seed: 0 num_workers: 8 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: 100 patience: null val_scheduler_criterion: - valid - loss early_stopping_criterion: - valid - loss - min best_model_criterion: - - valid - acc - max keep_nbest_models: 10 grad_clip: 5.0 grad_clip_type: 2.0 grad_noise: false accum_grad: 4 no_forward_run: false resume: true train_dtype: float32 use_amp: false log_interval: null 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_raw_en_char/train/speech_shape - exp/asr_stats_raw_en_char/train/text_shape.char valid_shape_file: - exp/asr_stats_raw_en_char/valid/speech_shape - exp/asr_stats_raw_en_char/valid/text_shape.char 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_si284/wav.scp - speech - sound - - dump/raw/train_si284/text - text - text valid_data_path_and_name_and_type: - - dump/raw/test_dev93/wav.scp - speech - sound - - dump/raw/test_dev93/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: 0.005 scheduler: warmuplr scheduler_conf: warmup_steps: 30000 token_list: - - - - E - T - A - N - I - O - S - R - H - L - D - C - U - M - P - F - G - Y - W - B - V - K - . - X - '''' - J - Q - Z - - ',' - '-' - '"' - '*' - ':' - ( - ) - '?' - '!' - '&amp;' - ; - '1' - '2' - '0' - / - $ - '{' - '}' - '8' - '9' - '6' - '3' - '5' - '7' - '4' - '~' - '`' - _ - &lt;*IN*&gt; - &lt;*MR.*&gt; - \ - ^ - init: xavier_uniform input_size: null ctc_conf: ignore_nan_grad: true model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false use_preprocessor: true token_type: char bpemodel: null non_linguistic_symbols: data/nlsyms.txt 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: 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: conv2d2 normalize_before: true macaron_style: true rel_pos_type: latest pos_enc_layer_type: rel_pos selfattention_layer_type: rel_selfattn activation_type: swish use_cnn_module: true cnn_module_kernel: 15 decoder: transformer decoder_conf: attention_heads: 4 linear_units: 2048 num_blocks: 6 dropout_rate: 0.1 positional_dropout_rate: 0.1 self_attention_dropout_rate: 0.0 src_attention_dropout_rate: 0.0 required: - output_dir - token_list version: 0.10.0 distributed: false</code></pre> <strong>LM config</strong> <pre><code>config: conf/train_lm_transformer.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/lm_train_lm_transformer_en_char 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: 25 patience: null val_scheduler_criterion: - valid - loss early_stopping_criterion: - valid - loss - min best_model_criterion: - - valid - loss - min keep_nbest_models: 10 grad_clip: 5.0 grad_clip_type: 2.0 grad_noise: false accum_grad: 2 no_forward_run: false resume: true train_dtype: float32 use_amp: false log_interval: null use_tensorboard: true use_wandb: false wandb_project: null wandb_id: null detect_anomaly: false pretrain_path: null init_param: [] ignore_init_mismatch: false freeze_param: [] num_iters_per_epoch: null batch_size: 20 valid_batch_size: null batch_bins: 350000 valid_batch_bins: null train_shape_file: - exp/lm_stats_en_char/train/text_shape.char valid_shape_file: - exp/lm_stats_en_char/valid/text_shape.char batch_type: numel valid_batch_type: null fold_length: - 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/lm_train.txt - text - text valid_data_path_and_name_and_type: - - dump/raw/test_dev93/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: 0.001 scheduler: warmuplr scheduler_conf: warmup_steps: 25000 token_list: - - - - E - T - A - N - I - O - S - R - H - L - D - C - U - M - P - F - G - Y - W - B - V - K - . - X - '''' - J - Q - Z - - ',' - '-' - '"' - '*' - ':' - ( - ) - '?' - '!' - '&amp;' - ; - '1' - '2' - '0' - / - $ - '{' - '}' - '8' - '9' - '6' - '3' - '5' - '7' - '4' - '~' - '`' - _ - &lt;*IN*&gt; - &lt;*MR.*&gt; - \ - ^ - init: null model_conf: ignore_id: 0 use_preprocessor: true token_type: char bpemodel: null non_linguistic_symbols: data/nlsyms.txt cleaner: null g2p: null lm: transformer lm_conf: pos_enc: null embed_unit: 128 att_unit: 512 head: 8 unit: 2048 layer: 16 dropout_rate: 0.1 required: - output_dir - token_list version: 0.9.9 distributed: false</code></pre>