ESPnet2 pretrained model, keiasano/TEMPLATE_asr_0528_hmdspeller_crop500_base_5augmentation_re_latest, fs=16k, lang=en
Creators: name: Keiasano
Publisher: name: Zenodo
Year: 2023
Subjects: ESPnet
deep-learning
python
pytorch
speech-recognition
speech-synthesis
speech-translation
machine-translation

description: This model was trained by keiasano using TEMPLATE 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 espnetgit checkout 41ed22a0ad2ef57bf7c57ba1209dbef4e9f924cb pip install -e . cd egs2/TEMPLATE/1112_block_12_10000_crop500 ./run.sh --skip_data_prep false --skip_train true --download_model keiasano/TEMPLATE_asr_0528_hmdspeller_crop500_base_5augmentation_re_latest</code> </pre> <strong>Results</strong><pre><code> # RESULTS ## Environments - date: `Sat Nov 12 04:48:01 JST 2022` - python version: `3.8.13 (default, Mar 28 2022, 11:38:47) [GCC 7.5.0]` - espnet version: `espnet 202205` - pytorch version: `pytorch 1.11.0` - Git hash: `41ed22a0ad2ef57bf7c57ba1209dbef4e9f924cb` - Commit date: `Wed Jul 6 20:59:31 2022 +0900` ## asr_0923_hmdspeller_crop500_base_5augmentation_re ### WER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_model_valid.acc.best/test|116|116|55.2|44.8|0.0|0.0|44.8|44.8| ### CER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_model_valid.acc.best/test|116|693|88.7|8.9|2.3|2.6|13.9|44.8| ### TER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---|</code></pre> <strong>ASR config</strong><pre><code>config: conf/train_asr_transformer.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: /home/hdd/lip_visual/0902_hmdspeller_full_fixed/0528_hmdspeller_crop500_base_5augmentation_re/exp/asr_0528_hmdspeller_crop500_base_5augmentation_re 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: 10000 patience: null val_scheduler_criterion: - valid - loss early_stopping_criterion: - valid - loss - min best_model_criterion: - - valid - acc - max keep_nbest_models: 10 nbest_averaging_interval: 0 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_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: [] num_iters_per_epoch: null batch_size: 24 valid_batch_size: null batch_bins: 1000000 valid_batch_bins: null train_shape_file: - /home/hdd/lip_visual/0902_hmdspeller_full_fixed/0528_hmdspeller_crop500_base_5augmentation_re/exp/asr_stats_fbank_pitch_en_char/train/speech_shape - /home/hdd/lip_visual/0902_hmdspeller_full_fixed/0528_hmdspeller_crop500_base_5augmentation_re/exp/asr_stats_fbank_pitch_en_char/train/text_shape.char valid_shape_file: - /home/hdd/lip_visual/0902_hmdspeller_full_fixed/0528_hmdspeller_crop500_base_5augmentation_re/exp/asr_stats_fbank_pitch_en_char/valid/speech_shape - /home/hdd/lip_visual/0902_hmdspeller_full_fixed/0528_hmdspeller_crop500_base_5augmentation_re/exp/asr_stats_fbank_pitch_en_char/valid/text_shape.char batch_type: folded valid_batch_type: null fold_length: - 800 - 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/fbank_pitch/train/feats.scp - speech - kaldi_ark - - dump/fbank_pitch/train/text - text - text valid_data_path_and_name_and_type: - - dump/fbank_pitch/val/feats.scp - speech - kaldi_ark - - dump/fbank_pitch/val/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: 0.0005 scheduler: warmuplr scheduler_conf: warmup_steps: 25000 token_list: - - - e - i - s - r - a - t - n - o - l - c - d - u - p - g - h - m - y - b - f - w - v - k - x - j - q - z - S - M - C - I - R - V - F - O - K - init: xavier_uniform input_size: 512 ctc_conf: dropout_rate: 0.0 ctc_type: builtin reduce: true ignore_nan_grad: null zero_infinity: true joint_net_conf: null use_preprocessor: true token_type: char 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' short_noise_thres: 0.5 frontend: null frontend_conf: {} specaug: null specaug_conf: {} normalize: global_mvn normalize_conf: stats_file: /home/hdd/lip_visual/0902_hmdspeller_full_fixed/0528_hmdspeller_crop500_base_5augmentation_re/exp/asr_stats_fbank_pitch_en_char/train/feats_stats.npz model: espnet model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false preencoder: null preencoder_conf: {} encoder: transformer encoder_conf: output_size: 256 attention_heads: 4 linear_units: 2048 num_blocks: 12 dropout_rate: 0.3 positional_dropout_rate: 0.1 attention_dropout_rate: 0.0 input_layer: linear normalize_before: true postencoder: null postencoder_conf: {} decoder: transformer decoder_conf: attention_heads: 4 linear_units: 1024 num_blocks: 1 dropout_rate: 0.3 positional_dropout_rate: 0.1 self_attention_dropout_rate: 0.0 src_attention_dropout_rate: 0.0 required: - output_dir - token_list version: '202205' distributed: false</code></pre> <strong>LM config</strong><pre><code>NONE</code></pre>