ESPnet2 pretrained model, siddhana/slurp_new_asr_train_asr_conformer_raw_en_word_valid.acc.ave_10best, fs=16k, lang=en
Creators: name: Siddhana
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 siddhana using slurp_new 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 pip install -e . cd egs2/slurp_new/asr1 ./run.sh --skip_data_prep false --skip_train true --download_model siddhana/slurp_new_asr_train_asr_conformer_raw_en_word_valid.acc.ave_10best</code> </pre> <strong>Results</strong> <pre><code> # RESULTS ## Environments - date: `Mon Oct 11 13:11:36 2021 -0400` - python version: `3.9.5 (default, Jun 4 2021, 12:28:51) [GCC 7.5.0]` - espnet version: `espnet 0.10.3a2` - pytorch version: `pytorch 1.8.1+cu102` - - Git hash: `4e7d2ba3510463ae744d1a6d98f18388ad929a9d` - Commit date: `Mon Oct 11 12:57:48 2021 -0400` ## asr_train_asr_conformer_raw_en_word |dataset|Snt|Intent Classification (%)| |---|---|---| |inference_asr_model_valid.acc.ave_10best/test|13078|86.3| |inference_asr_model_valid.acc.ave_10best/valid|8690|86.9|</code></pre> <strong>ASR config</strong> <pre><code>config: conf/tuning/train_asr_conformer.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/asr_train_asr_conformer_raw_en_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 unused_parameters: false sharded_ddp: false cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 50 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: 1 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: [] num_iters_per_epoch: null batch_size: 20 valid_batch_size: null batch_bins: 1000000 valid_batch_bins: null train_shape_file: - exp/asr_stats_raw_en_word/train/speech_shape - exp/asr_stats_raw_en_word/train/text_shape.word valid_shape_file: - exp/asr_stats_raw_en_word/valid/speech_shape - exp/asr_stats_raw_en_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/devel/wav.scp - speech - sound - - dump/raw/devel/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: 0.0002 scheduler: warmuplr scheduler_conf: warmup_steps: 25000 token_list: - - - ▁the - s - ▁to - ▁i - ▁me - ▁you - ▁what - ▁a - ▁is - ▁my - ▁please - a - '''' - y - ▁in - ing - ▁s - e - ▁for - i - ▁on - d - t - o - u - er - p - ▁of - es - re - l - ▁it - ▁p - le - ▁f - ▁m - ▁email - ▁d - m - ▁c - st - r - n - ar - ▁h - b - ▁that - c - ▁this - h - an - email_query - ▁play - ▁re - ▁b - ▁do - ▁can - at - ▁have - g - ▁from - ▁and - en - email_sendemail - ▁olly - 'on' - ▁new - it - qa_factoid - calendar_set - ▁any - or - ▁g - ▁how - ▁t - ▁tell - ch - ▁not - ▁about - ▁at - ate - general_negate - f - ▁today - ▁e - ed - ▁list - ▁r - in - k - ic - social_post - ▁are - play_music - general_quirky - ▁l - al - v - ent - ▁n - ▁be - ▁an - ▁st - et - ▁am - general_praise - ▁time - weather_query - ▁up - ▁check - calendar_query - ▁w - om - ur - ▁send - ▁with - ly - w - general_explain - ad - ▁th - news_query - ▁one - ▁emails - day - ▁sh - ce - ▁last - ve - ▁he - z - ▁ch - ▁will - ▁set - ▁would - ▁was - x - general_repeat - ▁add - ou - ▁again - ▁ex - is - ct - general_affirm - general_confirm - ▁song - ▁next - ▁j - ▁meeting - um - ation - ▁turn - ▁did - if - ▁alarm - am - ▁like - datetime_query - ter - ▁remind - ▁o - qa_definition - ▁said - ▁calendar - ll - se - ers - th - ▁get - our - ▁need - ▁all - ot - ▁want - ▁off - and - ▁right - ▁de - ▁tr - ut - general_dontcare - ▁ - ▁week - as - ▁tweet - ight - ir - ▁your - ▁event - ▁news - ▁se - ay - ion - ▁com - ▁there - ▁ye - ▁weather - un - ▁confirm - ld - calendar_remove - ▁y - ▁lights - ▁more - ▁v - play_radio - ▁does - ▁po - ▁now - id - email_querycontact - ▁show - ▁could - ery - op - ▁day - ▁pm - ▁music - ▁tomorrow - ▁train - ▁u - ine - ▁or - ange - qa_currency - ice - ▁contact - ▁just - ▁jo - ▁think - qa_stock - end - ss - ber - ▁tw - ▁command - ▁make - ▁no - ▁mo - pe - ▁find - general_commandstop - ▁when - social_query - ▁so - ong - ▁co - ant - ow - ▁much - ▁where - ul - ue - ri - ap - ▁start - ▁mar - ▁by - one - ▁know - ▁wor - oo - ▁give - ▁let - ▁events - der - ▁ro - ▁pr - ▁pl - play_podcasts - art - us - ▁work - ▁current - ol - cooking_recipe - nt - ▁correct - transport_query - ia - ▁stock - ▁br - ive - ▁app - ▁two - ▁latest - lists_query - ▁some - recommendation_events - ab - ▁go - ▁but - ook - ke - alarm_set - play_audiobook - ▁k - ▁response - ▁wr - cast - ▁open - ▁cle - ▁done - ▁got - ▁ca - ite - ase - ▁thank - iv - ah - ag - ▁answer - ie - ▁five - ▁book - ist - ▁rec - ore - ▁john - ment - ▁appreci - ▁fri - ack - ▁remove - ated - ock - ree - j - ▁good - ▁many - orn - fe - ▁radio - ▁we - int - ▁facebook - ▁cl - ▁sev - ▁schedule - ard - ▁per - ▁li - ▁going - nd - ain - recommendation_locations - ▁post - lists_createoradd - ff - ▁su - red - iot_hue_lightoff - lists_remove - ▁ar - een - ▁say - ro - ▁volume - ▁le - ▁reply - ▁complaint - ▁out - ▁delete - ▁ne - ame - ▁detail - ▁if - im - ▁happ - orr - ich - em - ▁ev - ction - ▁dollar - ▁as - alarm_query - audio_volume_mute - ac - music_query - ▁mon - ther - ▁thanks - cel - ▁who - ave - ▁service - ▁mail - ty - ▁hear - de - ▁si - ▁wh - ood - ell - ▁con - ▁once - ound - ▁don - ▁loc - ▁light - ▁birthday - ▁inf - ort - ffe - ▁playlist - el - ening - ▁us - ▁un - ▁has - own - ▁inc - ai - ▁speak - age - ▁mess - ast - ci - ver - ▁ten - ▁underst - ▁pro - ▁q - enty - ▁ticket - gh - audio_volume_up - ▁take - ▁bo - ally - ome - transport_ticket - ind - iot_hue_lightchange - pp - iot_coffee - ▁res - plain - io - lar - takeaway_query - ge - takeaway_order - email_addcontact - play_game - ak - ▁fa - transport_traffic - music_likeness - ▁rep - act - ust - transport_taxi - iot_hue_lightdim - ▁mu - ▁ti - ick - ▁ha - ould - general_joke - '1' - qa_maths - ▁lo - iot_cleaning - q - ake - ill - her - iot_hue_lightup - pl - '2' - alarm_remove - orrect - ▁cont - mail - out - audio_volume_down - book - ail - recommendation_movies - ck - ▁man - ▁mus - ▁che - me - ume - ▁answ - datetime_convert - ▁late - iot_wemo_on - ▁twe - music_settings - iot_wemo_off - orre - ith - ▁tom - ▁fr - ere - ▁ad - xt - ▁ab - ank - general_greet - now - ▁meet - ▁curre - ▁respon - ▁ag - ght - audio_volume_other - ink - ▁spe - iot_hue_lighton - ▁rem - lly - '?' - urn - ▁op - ▁complain - ▁comm - let - music_dislikeness - ove - ▁sch - ather - ▁rad - edule - ▁under - icket - lease - ▁bir - erv - ▁birth - ▁face - ▁cur - sw - ▁serv - ek - aid - '9' - ▁vol - edu - '5' - cooking_query - lete - ▁joh - ▁det - firm - nder - '0' - irm - '8' - '&amp;' - _ - list - pon - qa_query - '7' - '3' - '-' - reci - ▁doll - init: null input_size: null ctc_conf: dropout_rate: 0.0 ctc_type: builtin reduce: true ignore_nan_grad: true model_conf: ctc_weight: 0.3 lsm_weight: 0.1 length_normalized_loss: false extract_feats_in_collect_stats: false use_preprocessor: true token_type: word 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' 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: utterance_mvn normalize_conf: {} 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: conv2d normalize_before: true macaron_style: true pos_enc_layer_type: rel_pos selfattention_layer_type: rel_selfattn activation_type: swish use_cnn_module: true cnn_module_kernel: 31 postencoder: null postencoder_conf: {} 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 version: 0.10.3a2 distributed: false</code></pre> <strong>LM config</strong> <pre><code>NONE</code></pre>