ESPnet2 pretrained model, kamo-naoyuki/timit_asr_train_asr_raw_word_valid.acc.ave, fs=16k, lang=noinfo
Creators: name: Kamo-Naoyuki
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 kamo-naoyuki using timit 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 f157fcd651df34a714ad2bd5d97e46632e010096 pip install -e . cd egs2/timit/asr1 ./run.sh --skip_data_prep false --skip_train true --download_model kamo-naoyuki/timit_asr_train_asr_raw_word_valid.acc.ave</code> </pre> <strong>Results</strong> <pre><code> # RESULTS ## Environments - date: `Sun Nov 22 05:40:05 JST 2020` - python version: `3.8.5 (default, Aug 5 2020, 08:36:46) [GCC 7.3.0]` - espnet version: `espnet 0.9.5` - pytorch version: `pytorch 1.6.0` - Git hash: `f157fcd651df34a714ad2bd5d97e46632e010096` - Commit date: `Sun Nov 22 04:29:17 2020 +0900` ## asr_train_asr_raw_word ### WER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_asr_model_valid.acc.ave/dev|400|15057|84.4|11.2|4.4|2.3|17.9|99.0| |decode_asr_asr_model_valid.acc.ave/test|192|7215|83.1|12.4|4.5|2.6|19.5|99.0| |decode_asr_lm_lm_train_lm_rnn_word_valid.loss.ave_asr_model_valid.acc.ave/dev|400|15057|83.0|12.2|4.7|2.8|19.8|99.8| |decode_asr_lm_lm_train_lm_rnn_word_valid.loss.ave_asr_model_valid.acc.ave/test|192|7215|81.6|13.5|4.9|3.3|21.7|100.0| ### CER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_asr_model_valid.acc.ave/dev|400|41742|91.0|4.3|4.8|2.8|11.9|99.0| |decode_asr_asr_model_valid.acc.ave/test|192|20045|90.4|4.7|4.9|3.2|12.8|99.0| |decode_asr_lm_lm_train_lm_rnn_word_valid.loss.ave_asr_model_valid.acc.ave/dev|400|41742|90.2|4.7|5.1|3.3|13.1|99.8| |decode_asr_lm_lm_train_lm_rnn_word_valid.loss.ave_asr_model_valid.acc.ave/test|192|20045|89.6|5.3|5.2|3.9|14.4|100.0|</code></pre> <strong>ASR config</strong> <pre><code>config: conf/train_asr.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/asr_train_asr_raw_word 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: 25 patience: 4 val_scheduler_criterion: - valid - loss early_stopping_criterion: - valid - loss - min best_model_criterion: - - valid - acc - max keep_nbest_models: 3 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 pretrain_path: null init_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_word/train/speech_shape - exp/asr_stats_raw_word/train/text_shape.word valid_shape_file: - exp/asr_stats_raw_word/valid/speech_shape - exp/asr_stats_raw_word/valid/text_shape.word 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/wav.scp - speech - sound - - dump/raw/train/text - text - text valid_data_path_and_name_and_type: - - dump/raw/dev/wav.scp - speech - sound - - 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: adadelta optim_conf: lr: 1.0 rho: 0.95 eps: 1.0e-08 weight_decay: 0 scheduler: reducelronplateau scheduler_conf: mode: min factor: 0.5 patience: 1 token_list: - - - sil - ih - n - s - ah - l - r - iy - er - aa - t - k - z - m - eh - p - d - dh - ae - ey - w - f - b - v - uw - ay - dx - hh - ow - sh - ng - g - jh - y - ch - th - aw - uh - oy - init: xavier_uniform input_size: null ctc_conf: dropout_rate: 0.0 ctc_type: builtin reduce: true ignore_nan_grad: false model_conf: ctc_weight: 0.5 lsm_weight: 0.1 use_preprocessor: true token_type: word bpemodel: null 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_word/train/feats_stats.npz encoder: rnn encoder_conf: rnn_type: gru bidirectional: true use_projection: true num_layers: 4 hidden_size: 320 output_size: 320 dropout: 0.2 decoder: rnn decoder_conf: rnn_type: lstm num_layers: 1 hidden_size: 320 dropout: 0.0 att_conf: atype: location adim: 320 required: - output_dir - token_list distributed: false</code></pre> <strong>LM config</strong> <pre><code>NONE</code></pre>