ESPnet2 pretrained model, Shinji Watanabe/ami_asr_train_asr_e85_raw_en_bpe100_optim_conflr5.0_sp_valid.acc.ave, fs=16k, lang=en
Creators: name: Watanabe, Shinji
Publisher: name: Zenodo
Year: 2020
Subjects: ESPnet
deep-learning
python
pytorch
speech-recognition
speech-synthesis
speech-translation
machine-translation

description: This model was trained by Shinji Watanabe using ami 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 844b2f2ee9c7f9da1881447a6e60b6fe6e05e4df pip install -e . cd egs2/ami/asr1 ./run.sh --skip_data_prep false --skip_train true --download_model Shinji Watanabe/ami_asr_train_asr_e85_raw_en_bpe100_optim_conflr5.0_sp_valid.acc.ave</code> </pre> <strong>Results</strong><pre><code> # RESULTS ## Environments - date: `Mon Dec 28 16:38:46 EST 2020` - python version: `3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0]` - espnet version: `espnet 0.9.6` - pytorch version: `pytorch 1.4.0` - Git hash: `844b2f2ee9c7f9da1881447a6e60b6fe6e05e4df` - Commit date: `Mon Dec 28 13:00:35 2020 -0500` ## asr_train_asr_e85_raw_en_bpe100_optim_conflr5.0_sp ### WER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_ctc_weight0.2_lm_weight0.2_lm_lm_train_lm_bpe100_valid.loss.ave_asr_model_valid.acc.ave/ihm_dev|13057|94802|73.8|18.6|7.6|3.6|29.8|62.6| |decode_asr_ctc_weight0.2_lm_weight0.2_lm_lm_train_lm_en_bpe100_valid.loss.ave_asr_model_valid.acc.ave/ihm_dev|13057|94802|73.8|18.6|7.6|3.6|29.8|62.6| |decode_asr_ctc_weight0.2_lm_weight0.2_lm_lm_train_lm_en_bpe100_valid.loss.ave_asr_model_valid.acc.ave/ihm_eval|12643|89666|73.5|19.8|6.7|3.5|30.0|60.1| ### CER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_ctc_weight0.2_lm_weight0.2_lm_lm_train_lm_bpe100_valid.loss.ave_asr_model_valid.acc.ave/ihm_dev|13057|451641|85.4|6.0|8.6|3.8|18.4|62.6| |decode_asr_ctc_weight0.2_lm_weight0.2_lm_lm_train_lm_en_bpe100_valid.loss.ave_asr_model_valid.acc.ave/ihm_dev|13057|451641|85.4|6.0|8.6|3.8|18.4|62.6| |decode_asr_ctc_weight0.2_lm_weight0.2_lm_lm_train_lm_en_bpe100_valid.loss.ave_asr_model_valid.acc.ave/ihm_eval|12643|432094|85.7|6.6|7.7|3.8|18.1|60.1| ### TER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_ctc_weight0.2_lm_weight0.2_lm_lm_train_lm_bpe100_valid.loss.ave_asr_model_valid.acc.ave/ihm_dev|13057|254909|79.2|11.1|9.7|3.5|24.3|62.6|</code></pre> <strong>ASR config</strong><pre><code>config: conf/train_asr_e85.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/asr_train_asr_e85_raw_bpe100_optim_conflr5.0_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 cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 85 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 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: [] num_iters_per_epoch: null batch_size: 32 valid_batch_size: null batch_bins: 1000000 valid_batch_bins: null train_shape_file: - exp/asr_stats_raw_bpe100_sp/train/speech_shape - exp/asr_stats_raw_bpe100_sp/train/text_shape.bpe valid_shape_file: - exp/asr_stats_raw_bpe100_sp/valid/speech_shape - exp/asr_stats_raw_bpe100_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/ihm_train_sp/wav.scp - speech - sound - - dump/raw/ihm_train_sp/text - text - text valid_data_path_and_name_and_type: - - dump/raw/ihm_dev/wav.scp - speech - sound - - dump/raw/ihm_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: 5.0 scheduler: noamlr scheduler_conf: warmup_steps: 25000 token_list: - - - E - T - S - ▁ - O - A - I - R - U - ▁THE - D - N - C - ▁A - Y - '''' - H - ▁I - M - RE - P - ▁S - L - ▁IT - ▁YEAH - ▁M - ▁YOU - ▁WE - ▁UH - G - ▁W - ▁TO - ▁THAT - ING - ▁C - ▁SO - ▁P - AN - ▁AND - F - ER - LL - K - W - EN - ▁F - AL - VE - 'ON' - ▁OF - ▁IN - B - ▁BE - ▁ON - ▁NO - ▁D - ▁T - ▁B - LE - IN - ▁H - ▁UM - ▁TH - . - ▁DO - V - LY - ▁HAVE - ▁IS - ▁OKAY - ▁L - ▁BUT - ▁GO - ▁FOR - ▁LIKE - ▁MM - ▁CAN - ▁THINK - ▁THIS - ▁JUST - ▁WHAT - X - ▁OR - HMM - ▁WITH - ▁KNOW - '-' - ▁USE - ▁WOULD - ▁RIGHT - ▁REMOTE - ▁BUTTON - J - Z - '*' - '@' - Q - init: chainer 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/token_list/bpe_unigram100/bpe.model non_linguistic_symbols: null cleaner: null g2p: null frontend: default frontend_conf: fs: 16k specaug: null specaug_conf: {} normalize: global_mvn normalize_conf: stats_file: exp/asr_stats_raw_bpe100_sp/train/feats_stats.npz encoder: transformer encoder_conf: input_layer: conv2d num_blocks: 12 linear_units: 2048 dropout_rate: 0.1 output_size: 256 attention_heads: 4 attention_dropout_rate: 0.0 decoder: transformer decoder_conf: input_layer: embed num_blocks: 6 linear_units: 2048 dropout_rate: 0.1 required: - output_dir - token_list distributed: false</code></pre> <strong>LM config</strong><pre><code>config: conf/train_lm.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/lm_train_lm_bpe100 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 cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 20 patience: 3 val_scheduler_criterion: - valid - loss early_stopping_criterion: - valid - loss - min best_model_criterion: - - valid - loss - min keep_nbest_models: 1 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: [] 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/ihm_dev/text - text - text allow_variable_data_keys: false max_cache_size: 0.0 max_cache_fd: 32 valid_max_cache_size: null optim: sgd optim_conf: {} scheduler: null scheduler_conf: {} token_list: - - - E - T - S - ▁ - O - A - I - R - U - ▁THE - D - N - C - ▁A - Y - '''' - H - ▁I - M - RE - P - ▁S - L - ▁IT - ▁YEAH - ▁M - ▁YOU - ▁WE - ▁UH - G - ▁W - ▁TO - ▁THAT - ING - ▁C - ▁SO - ▁P - AN - ▁AND - F - ER - LL - K - W - EN - ▁F - AL - VE - 'ON' - ▁OF - ▁IN - B - ▁BE - ▁ON - ▁NO - ▁D - ▁T - ▁B - LE - IN - ▁H - ▁UM - ▁TH - . - ▁DO - V - LY - ▁HAVE - ▁IS - ▁OKAY - ▁L - ▁BUT - ▁GO - ▁FOR - ▁LIKE - ▁MM - ▁CAN - ▁THINK - ▁THIS - ▁JUST - ▁WHAT - X - ▁OR - HMM - ▁WITH - ▁KNOW - '-' - ▁USE - ▁WOULD - ▁RIGHT - ▁REMOTE - ▁BUTTON - J - Z - '*' - '@' - 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: seq_rnn lm_conf: unit: 1000 nlayers: 1 required: - output_dir - token_list distributed: false</code></pre>