ESPnet2 pretrained model, Pavel Denisov/ru_open_stt_asr_train_asr_conformer_raw_ru_bpe100_valid.acc.ave, fs=16k, lang=ru
Creators: name: Denisov, Pavel
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 Pavel Denisov using ru_open_stt 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 5841b0771afe823622b846bc4aea3896bf5dfe67 pip install -e . cd egs2/ru_open_stt/asr1 ./run.sh --skip_data_prep false --skip_train true --download_model Pavel Denisov/ru_open_stt_asr_train_asr_conformer_raw_ru_bpe100_valid.acc.ave</code> </pre> <strong>Results</strong><pre><code> # RESULTS ## Environments - date: `Wed Feb 10 05:41:52 CET 2021` - python version: `3.8.7 (default, Jan 20 2021, 00:00:00) [GCC 10.2.1 20201125 (Red Hat 10.2.1-9)]` - espnet version: `espnet 0.9.6` - pytorch version: `pytorch 1.7.1+cu110` - Git hash: `d72131db420e8a3455f7de9abd4c67cb8fa151a5` - Commit date: `Thu Jan 7 16:59:24 2021 -0500` ## asr_train_asr_conformer_raw_ru_bpe100 ### WER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_lm_transformer_ru_bpe100_valid.loss.ave_asr_model_valid.acc.ave/asr_calls_2_val|12950|79190|70.2|16.1|13.7|1.5|31.3|73.6| |decode_asr_lm_lm_train_lm_transformer_ru_bpe100_valid.loss.ave_asr_model_valid.acc.ave/buriy_audiobooks_2_val|7850|39721|85.5|11.7|2.8|5.0|19.4|63.7| |decode_asr_lm_lm_train_lm_transformer_ru_bpe100_valid.loss.ave_asr_model_valid.acc.ave/public_youtube700_val|7311|42317|82.6|10.6|6.8|1.5|18.9|56.9| ### CER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_lm_transformer_ru_bpe100_valid.loss.ave_asr_model_valid.acc.ave/asr_calls_2_val|12950|439657|85.3|3.6|11.2|1.5|16.2|73.6| |decode_asr_lm_lm_train_lm_transformer_ru_bpe100_valid.loss.ave_asr_model_valid.acc.ave/buriy_audiobooks_2_val|7850|245583|96.3|1.0|2.8|2.3|6.0|63.7| |decode_asr_lm_lm_train_lm_transformer_ru_bpe100_valid.loss.ave_asr_model_valid.acc.ave/public_youtube700_val|7311|254124|93.5|1.6|5.0|1.1|7.7|56.9| ### TER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_lm_transformer_ru_bpe100_valid.loss.ave_asr_model_valid.acc.ave/asr_calls_2_val|12950|305580|82.1|5.9|11.9|1.2|19.1|73.6| |decode_asr_lm_lm_train_lm_transformer_ru_bpe100_valid.loss.ave_asr_model_valid.acc.ave/buriy_audiobooks_2_val|7850|169662|94.9|2.2|2.9|2.0|7.1|63.7| |decode_asr_lm_lm_train_lm_transformer_ru_bpe100_valid.loss.ave_asr_model_valid.acc.ave/public_youtube700_val|7311|174265|92.0|2.8|5.2|0.9|8.9|56.9|</code></pre> <strong>ASR config</strong><pre><code>config: conf/train_asr_conformer.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/asr_train_asr_conformer_raw_ru_bpe100 ngpu: 1 seed: 0 num_workers: 1 num_att_plot: 3 dist_backend: nccl dist_init_method: env:// dist_world_size: 4 dist_rank: 0 local_rank: 0 dist_master_addr: localhost dist_master_port: 49145 dist_launcher: null multiprocessing_distributed: true cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 30 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: 2 no_forward_run: false resume: true train_dtype: float32 use_amp: false log_interval: null unused_parameters: false use_tensorboard: true use_wandb: false wandb_project: null wandb_id: null pretrain_path: null init_param: [] freeze_param: [] num_iters_per_epoch: null batch_size: 20 valid_batch_size: null batch_bins: 27000000 valid_batch_bins: null train_shape_file: - exp/asr_stats_raw_ru_bpe100/train/speech_shape - exp/asr_stats_raw_ru_bpe100/train/text_shape.bpe valid_shape_file: - exp/asr_stats_raw_ru_bpe100/valid/speech_shape - exp/asr_stats_raw_ru_bpe100/valid/text_shape.bpe 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/wav.scp - speech - kaldi_ark - - dump/raw/train/text - text - text valid_data_path_and_name_and_type: - - dump/raw/dev/wav.scp - speech - kaldi_ark - - dump/raw/dev/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: - - - ▁ - е - т - и - с - м - а - я - у - н - о - в - д - л - р - ы - й - з - но - к - ▁с - ▁в - ▁о - ть - ▁по - ра - ни - б - п - г - ш - ч - го - ва - ▁и - де - ь - ли - ро - на - ре - ка - ▁не - ко - ю - ж - то - ▁на - ▁п - х - ст - во - да - ло - ль - те - ла - че - ц - ся - до - ▁что - ле - ны - ри - ве - ти - же - ▁то - ▁это - ки - ▁ко - ма - та - ▁за - ди - ▁у - щ - ▁про - не - ▁б - ▁а - бо - ▁во - ми - хо - ну - ру - ▁бы - сто - ф - э - ё - ъ - '*' - '2' - q - 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: bpe bpemodel: data/ru_token_list/bpe_unigram100/bpe.model non_linguistic_symbols: null cleaner: null g2p: null 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 - 30 num_freq_mask: 2 apply_time_mask: true time_mask_width_range: - 0 - 40 num_time_mask: 2 normalize: global_mvn normalize_conf: stats_file: exp/asr_stats_raw_ru_bpe100/train/feats_stats.npz preencoder: null preencoder_conf: {} 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: conv2d6 normalize_before: true macaron_style: false pos_enc_layer_type: rel_pos selfattention_layer_type: rel_selfattn activation_type: swish use_cnn_module: true cnn_module_kernel: 31 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 distributed: true</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_bpe100 ngpu: 1 seed: 0 num_workers: 1 num_att_plot: 3 dist_backend: nccl dist_init_method: env:// dist_world_size: 4 dist_rank: 0 local_rank: 0 dist_master_addr: localhost dist_master_port: 45333 dist_launcher: null multiprocessing_distributed: true cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 10 patience: 3 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: 1 no_forward_run: false resume: true train_dtype: float32 use_amp: false log_interval: null unused_parameters: false use_tensorboard: true use_wandb: false wandb_project: null wandb_id: null pretrain_path: null init_param: [] freeze_param: [] num_iters_per_epoch: null batch_size: 64 valid_batch_size: null batch_bins: 1000000 valid_batch_bins: null train_shape_file: - exp/lm_stats_bpe100/train/text_shape.bpe valid_shape_file: - exp/lm_stats_bpe100/valid/text_shape.bpe batch_type: folded 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/dev/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: - - - ▁ - е - т - и - с - м - а - я - у - н - о - в - д - л - р - ы - й - з - но - к - ▁с - ▁в - ▁о - ть - ▁по - ра - ни - б - п - г - ш - ч - го - ва - ▁и - де - ь - ли - ро - на - ре - ка - ▁не - ко - ю - ж - то - ▁на - ▁п - х - ст - во - да - ло - ль - те - ла - че - ц - ся - до - ▁что - ле - ны - ри - ве - ти - же - ▁то - ▁это - ки - ▁ко - ма - та - ▁за - ди - ▁у - щ - ▁про - не - ▁б - ▁а - бо - ▁во - ми - хо - ну - ру - ▁бы - сто - ф - э - ё - ъ - '*' - '2' - q - init: null model_conf: ignore_id: 0 use_preprocessor: true token_type: bpe bpemodel: data/token_list/bpe_unigram100/bpe.model non_linguistic_symbols: null 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 distributed: true</code></pre>