ESPnet2 pretrained model, Shinji Watanabe/spgispeech_asr_train_asr_conformer6_n_fft512_hop_length256_raw_en_unnorm_bpe10000_valid.acc.ave, fs=16k, lang=en_unnorm
Creators: name: Watanabe, Shinji
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 Shinji Watanabe using spgispeech 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 cd8b84dc705e49796f2c8940d4aecf8f923f9976 pip install -e . cd egs2/spgispeech/asr1 ./run.sh --skip_data_prep false --skip_train true --download_model Shinji Watanabe/spgispeech_asr_train_asr_conformer6_n_fft512_hop_length256_raw_en_unnorm_bpe10000_valid.acc.ave</code> </pre> <strong>Results</strong> <pre><code> # RESULTS ## Environments - date: `Mon Mar 8 23:43:09 EST 2021` - python version: `3.8.5 (default, Sep 4 2020, 07:30:14) [GCC 7.3.0]` - espnet version: `espnet 0.9.8` - pytorch version: `pytorch 1.7.1` - Git hash: `cd8b84dc705e49796f2c8940d4aecf8f923f9976` - Commit date: `Fri Mar 5 10:41:31 2021 -0500` ## asr_train_asr_conformer6_n_fft512_hop_length256_raw_en_unnorm_bpe10000 ### WER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_lm_en_unnorm_bpe10000_valid.loss.ave_asr_model_valid.acc.ave/dev_4k_unnorm|4000|95631|94.9|4.5|0.6|0.5|5.5|61.6| |decode_asr_lm_lm_train_lm_en_unnorm_bpe10000_valid.loss.ave_asr_model_valid.acc.ave/val_unnorm|39341|948632|94.9|4.5|0.6|0.5|5.5|61.4| ### CER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_lm_en_unnorm_bpe10000_valid.loss.ave_asr_model_valid.acc.ave/dev_4k_unnorm|4000|554413|98.8|0.6|0.6|0.4|1.6|61.6| |decode_asr_lm_lm_train_lm_en_unnorm_bpe10000_valid.loss.ave_asr_model_valid.acc.ave/val_unnorm|39341|5502566|98.8|0.6|0.6|0.5|1.6|61.4| ### TER |dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err| |---|---|---|---|---|---|---|---|---| |decode_asr_lm_lm_train_lm_en_unnorm_bpe10000_valid.loss.ave_asr_model_valid.acc.ave/dev_4k_unnorm|4000|112276|95.5|2.8|1.7|1.0|5.6|61.6| |decode_asr_lm_lm_train_lm_en_unnorm_bpe10000_valid.loss.ave_asr_model_valid.acc.ave/val_unnorm|39341|1114651|95.5|2.8|1.7|1.1|5.6|61.4|</code></pre> <strong>ASR config</strong> <pre><code>config: conf/tuning/train_asr_conformer6_n_fft512_hop_length256.yaml print_config: false log_level: INFO dry_run: false iterator_type: sequence output_dir: exp_unnorm/asr_train_asr_conformer6_n_fft512_hop_length256_raw_en_unnorm_bpe10000 ngpu: 1 seed: 0 num_workers: 1 num_att_plot: 3 dist_backend: nccl dist_init_method: env:// dist_world_size: 4 dist_rank: 0 local_rank: 0 dist_master_addr: localhost dist_master_port: 33274 dist_launcher: null multiprocessing_distributed: true unused_parameters: false sharded_ddp: false cudnn_enabled: true cudnn_benchmark: false cudnn_deterministic: true collect_stats: false write_collected_feats: false max_epoch: 35 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: 4 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 detect_anomaly: false pretrain_path: null init_param: [] freeze_param: [] num_iters_per_epoch: null batch_size: 20 valid_batch_size: null batch_bins: 35000000 valid_batch_bins: null train_shape_file: - exp_unnorm/asr_stats_raw_en_unnorm_bpe10000/train/speech_shape - exp_unnorm/asr_stats_raw_en_unnorm_bpe10000/train/text_shape.bpe valid_shape_file: - exp_unnorm/asr_stats_raw_en_unnorm_bpe10000/valid/speech_shape - exp_unnorm/asr_stats_raw_en_unnorm_bpe10000/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_unnorm/raw/train_nodev_unnorm/wav.scp - speech - sound - - dump_unnorm/raw/train_nodev_unnorm/text - text - text valid_data_path_and_name_and_type: - - dump_unnorm/raw/dev_4k_unnorm/wav.scp - speech - sound - - dump_unnorm/raw/dev_4k_unnorm/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: 0.0015 scheduler: warmuplr scheduler_conf: warmup_steps: 25000 token_list: - - - ▁the - . - ',' - ▁to - ▁of - ▁and - ▁we - ▁in - ▁that - '''' - ▁a - ▁our - s - ▁is - ▁I - ▁on - ▁for - ▁you - ▁are - ▁have - ▁as - ▁with - ▁it - ▁this - ▁be - ▁We - ▁And - ▁will - re - '-' - ▁year - ▁quarter - ▁at - ▁more - ▁So - ▁from - ▁business - ▁think - ▁what - t - ▁not - ▁some - ▁us - ▁by - ▁about - ▁there - ve - ▁growth - ▁can - ▁was - ▁which - ▁new - ▁very - ▁or - ▁do - '?' - ▁an - ▁market - ▁continue - ▁but - ▁also - ▁would - ▁see - ▁going - ▁The - ▁-- - ▁they - ▁been - ▁all - ▁just - ▁has - ▁these - ▁so - ▁well - ▁those - ▁over - ▁now - ▁time - ▁customers - ▁into - ▁where - ▁like - ▁first - ▁results - ▁out - ▁But - ▁really - ▁other - ▁how - ll - ing - ▁if - d - ▁their - ▁up - ▁forward - ▁expect - ▁company - ▁were - ▁than - ▁last - ▁your - ▁look - ▁through - ▁get - ▁any - ▁because - ▁one - ▁call - ▁strong - ▁had - ▁believe - ▁sales - ▁when - ▁This - ▁then - ▁As - ▁good - ▁second - ▁In - ▁revenue - m - ▁performance - ▁product - ▁make - ▁lot - ▁cost - n - ▁much - ed - ▁years - ▁Our - ▁could - ▁financial - ▁capital - ▁terms - ▁don - ▁future - ▁both - ▁impact - ▁right - ▁value - ▁them - ▁It - ▁today - ▁little - ▁want - ▁customer - ▁next - ▁bit - ▁back - ▁work - ▁increase - ▁products - ▁take - ▁number - ▁end - ▁higher - ▁opportunities - ▁able - ▁half - ▁markets - ▁kind - ▁way - ▁may - ▁significant - ▁know - ▁operating - ▁better - ▁go - ▁cash - ▁say - ▁things - ▁still - ▁focus - ▁most - ▁statements - ▁provide - ▁should - ▁being - ▁point - ▁part - ▁team - ▁across - ▁lower - ▁made - ▁opportunity - ▁need - 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