ESPnet2 pretrained model, nemi-notraces/asr_train_asr_conformer5_raw_de_bpe600_sp_valid.acc.best, fs=16k, lang=de
Creators: name: Nemi
Publisher: name: Zenodo
Year: 2021

description: This model was trained by nemi using comonvoice recipe in espnet2 with Comonvoice Corpus 7.1 <pre><code class="language-markdown">&lt;!-- Generated by scripts/utils/show_asr_result.sh --&gt; # RESULTS ## Environments - date: `Tue Aug 17 13:19:19 CEST 2021` - python version: `3.8.10 (default, Jul 2 2021, 23:47:19) [GCC 9.3.0]` - espnet version: `espnet 0.10.0` - pytorch version: `pytorch 1.9.0+cu111` - Git hash: `4f94f5bdc67b722c7fb04601b3b705d972bbce64` - Commit date: `Fri Aug 6 13:48:44 2021 -0400` ## asr_train_asr_conformer5_raw_de_bpe600_sp ### WER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_lm_de_bpe600_valid.loss.ave_asr_model_valid.acc.best/dev_de|15907|147000|93.5|6.0|0.5|0.6|7.1|36.2| |decode_asr_lm_lm_train_lm_de_bpe600_valid.loss.ave_asr_model_valid.acc.best/test_de|15907|145449|93.3|6.2|0.6|0.6|7.3|35.4| ### CER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_lm_de_bpe600_valid.loss.ave_asr_model_valid.acc.best/dev_de|15907|1038722|98.5|0.7|0.7|0.4|1.9|36.2| |decode_asr_lm_lm_train_lm_de_bpe600_valid.loss.ave_asr_model_valid.acc.best/test_de|15907|1021459|98.4|0.9|0.8|0.5|2.1|35.4| ### TER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_lm_de_bpe600_valid.loss.ave_asr_model_valid.acc.best/dev_de|15907|447421|96.1|2.6|1.3|0.6|4.6|36.2| |decode_asr_lm_lm_train_lm_de_bpe600_valid.loss.ave_asr_model_valid.acc.best/test_de|15907|439418|95.8|2.8|1.3|0.7|4.8|35.3| </code></pre> <pre><code class="language-bash">config: conf/tuning/train_asr_conformer5.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp/asr_train_asr_conformer5_raw_de_bpe600_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 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: 3 grad_clip_type: 2.0 grad_noise: false accum_grad: 16 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: 2500000 valid_batch_bins: null train_shape_file: - exp/asr_stats_raw_de_bpe600_sp/train/speech_shape - exp/asr_stats_raw_de_bpe600_sp/train/text_shape.bpe valid_shape_file: - exp/asr_stats_raw_de_bpe600_sp/valid/speech_shape - exp/asr_stats_raw_de_bpe600_sp/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_de_sp/wav.scp - speech - sound - - dump/raw/train_de_sp/text - text - text valid_data_path_and_name_and_type: - - dump/raw/dev_de/wav.scp - speech - sound - - dump/raw/dev_de/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: 4.0 scheduler: noamlr scheduler_conf: model_size: 256 warmup_steps: 25000 token_list: - &lt;blank&gt; - &lt;unk&gt; - ▁ - T - . - EN - S - E - N - ER - R - ▁DIE - M - L - ',' - ▁DER - F - O - H - D - I - K - G - ST - TE - ä - B - ▁IN - A - U - ▁IST - ▁GE - GE - ▁BE - ▁ER - ▁UND - IN - UNG - ▁EIN - ▁F - ü - DE - ▁DAS - RE - ▁VER - AN - SCH - P - CH - IG - W - ▁B - EL - ▁K - OR - ▁ZU - AL - LICH - Z - ▁AUF - ▁SIE - ▁AN - ▁DEN - ö - ▁VON - ▁SCH - CK - ▁W - '-' - ▁NICHT - ▁MIT - ▁G - ▁SICH - ▁ES - RI - AR - RA - TEN - ▁EINE - ▁AUS - GEN - '?' - LE - ES - ▁SO - ▁IM - LA - ▁P - AU - RO - Y - ▁WAR - V - IT - IE - UR - BE - TER - ▁ICH - ▁ST - SE - ▁ALS - ▁DES - ▁DA - BEN - ▁WURDE - DEN - ▁AUCH - ▁FüR - ▁S - 'ON' - ▁NACH - STE - ▁WIR - NE - EIN - ZE - ▁DEM - C - CHT - ▁VOR - FF - DER - ▁HAT - LL - ▁BEI - UM - ▁SIND - ▁DIESE - ▁MAN - ß - IL - LI - UT - MM - ▁MA - IS - ▁RE - EI - OL - NG - ▁HA - WI - TZ - US - ▁AB - AT - AM - ▁WERDEN - IERT - ELL - LEI - ▁UN - ZI - WA - ▁WIRD - ION - UN - ERN - LO - UND - LIE - IK - HE - ND - FT - ▁Z - ET - AND - RU - ▁UM - '!' - ▁UNTER - ▁NOCH - BER - MA - ▁üBER - UCH - ▁KO - ISCHE - ISCHEN - ▁SEIN - MAL - ▁WIE - ▁LA - DI - '"' - ▁ENT - ▁LE - ▁KA - ▁A - ▁SEINE - CHEN - ▁STA - VER - GA - ▁ALLE - ZU - HN - HL - RICH - KT - ▁KANN - ▁DU - ING - UNGEN - TEIL - ISCH - ▁HER - ▁WAS - UL - LAND - ▁ZWEI - ▁WO - ▁DURCH - ACH - IV - ATION - IST - üR - ▁DI - REICH - SP - LLE - AG - ▁VIEL - PF - ▁AM - ▁ME - ▁MO - SPIEL - ▁NUR - ICH - ▁PA - X - ▁SA - TRA - ▁EINEN - ▁HABEN - MP - ▁O - ▁ABER - ▁DASS - AB - ME - STEN - ORD - ▁SP - GEL - ▁HO - AUS - ▁MEHR - ▁ZUM - IGEN - ART - ▁" - UG - HALT - ▁NA - ▁DAR - SSEN - J - ▁MUSS - äR - ARBEIT - RIE - ▁IHR - FAHR - ▁NEU - PP - ▁IHRE - NA - ▁EINER - HER - ▁WEI - HA - SCHAFT - ▁MEIN - IEREN - ▁JAHR - ▁HIER - ▁BIS - ▁HAUPTSTADT - ▁DIESER - KEIT - LICHE - ▁EINEM - ▁KEINE - VI - ▁TA - LIN - IR - WEI - ▁MI - EHR - ITZ - ACHT - IEN - STAND - ▁WENN - ▁KON - ▁ZUR - ▁HIN - ▁GIBT - ▁WEITER - ▁BA - AKT - ▁ZEIT - ▁ODER - ▁ANDERE - HEIT - BAR - ALL - BAU - ▁RA - ▁TO - ▁JA - ▁WIEDER - ZEIT - QU - UB - ▁SCHON - ▁PO - ▁PRO - THE - ▁ANGE - VA - WEG - LASS - ▁DREI - ▁HEUTE - NIS - ▁HEI - ▁GEGEN - ANZ - BILD - ▁DR - ▁KöNNEN - ▁REG - " - ▁MU - " - ▁SOLLTE - BURG - ▁GUT - KOMMEN - ▁SEHR - ▁IMMER - ▁CO - FALL - ▁MIR - STER - ▁GROß - DEUTSCH - ▁OB - WEISE - ITäT - ▁DO - ▁NIE - FORM - ▁JE - ▁EIGEN - ▁VIER - ▁IHN - IERUNG - ▁MICH - GRUND - ▁DANN - SEHEN - ▁JEDOCH - ▁JU - MITTEL - TRAG - ▁DOCH - NEHMEN - HAUPT - ▁JEDE - HALB - HöR - ▁JETZT - BAHN - WERK - ▁ÜBER - ▁MüSSEN - ▁SCHWE - ▁HI - ▁GANZ - ▁ALT - SICHT - PUNKT - ▁VOM - MENT - FOLGE - ▁DAMIT - ▁SPäTER - ▁DABEI - IEß - ▁LIEGT - PORT - ▁DORT - RANK - ▁MöCHTE - GEHEN - ▁FREI - ▁ZUSAMMEN - ▁EX - äNDER - ▁FüNF - ▁SELBST - ▁ETWAS - ▁KLEIN - SPRACH - ▁ERFOLG - ▁ZWISCHEN - ▁BITTE - ▁KOMMT - GRüN - BRAUCH - ▁AUTO - Ä - Ö - ':' - '''' - ' - – - Ü - ; - é - í - á - Q - ó - ' - ō - ã - » - « - ' - '&amp;' - š - ) - ú - ş - ł - ʻ - ř - ă - É - â - ø - č - " - à - ı - ý - ô - ū - ñ - ā - / - ë - ʿ - ž - '@' - ě - ī - ń - å - ə - ′ - Ž - — - ð - æ - Œ - ň - Đ - ą - '=' - ś - ė - î - ò - đ - œ - ů - − - ġ - Ú - ']' - '`' - Í - и - а - ‐ - ṣ - ‹ - ę - ạ - ¡ - ì - õ - û - ď - ő - ť - Ѹ - ḫ - ả - " - › - ế - ф - р - о - м - е - в - С - μ - Ő - Ḫ - ơ - '[' - Ż - ź - Î - Æ - Ř - ï - Ó - Ç - Ł - İ - Ś - ğ - Ş - ț - ê - Á - Ō - Č - Š - ́ - ć - ș - À - ē - è - 毛 - 泽 - $ - '%' - + - Â - Ô - Ø - Þ - ù - Ħ - Ī - ņ - ŏ - ż - ǐ - Ș - ʾ - ̆ - О - ч - ་ - ན - ṟ - ṭ - ắ - ằ - ễ - ộ - ụ - ⟨ - ⟩ - カ - 东 - 临 - 孙 - 尣 - 支 - 比 - 無 - 臣 - 辶 - Ə - → - '*' - ( - Ш - к - ш - ≡ - &lt;sos/eos&gt; 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 use_preprocessor: true token_type: bpe bpemodel: data/de_token_list/bpe_unigram600/bpe.model 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: n_fft: 512 win_length: 400 hop_length: 160 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_de_bpe600_sp/train/feats_stats.npz preencoder: null preencoder_conf: {} encoder: conformer 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 pos_enc_layer_type: rel_pos selfattention_layer_type: rel_selfattn activation_type: swish macaron_style: true use_cnn_module: true cnn_module_kernel: 15 decoder: transformer decoder_conf: input_layer: embed num_blocks: 6 linear_units: 2048 dropout_rate: 0.1 required: - output_dir - token_list version: 0.10.0 distributed: false</code></pre>