Update model
Browse files- README.md +413 -0
- data/nlsyms.txt +3 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/config.yaml +193 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/backward_time.png +0 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/clip.png +0 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/forward_time.png +0 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/gpu_max_cached_mem_GB.png +0 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/grad_norm.png +0 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/iter_time.png +0 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/loss.png +0 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/loss_scale.png +0 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/optim0_lr0.png +0 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/optim_step_time.png +0 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/train_time.png +0 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/perplexity_test/ppl +1 -0
- espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/valid.loss.ave_10best.pth +3 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/8epoch.pth +3 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/RESULTS.md +29 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/RESULTS_enh.md +20 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/config.yaml +315 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/acc.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/backward_time.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/cer.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/cer_ctc.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/clip.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/forward_time.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/gpu_max_cached_mem_GB.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/grad_norm.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/iter_time.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/loss.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/loss_asr.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/loss_att.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/loss_ctc.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/loss_enh.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/loss_scale.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/optim0_lr0.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/optim_step_time.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/train_time.png +0 -0
- exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/wer.png +0 -0
- meta.yaml +10 -0
README.md
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---
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license: cc-by-4.0
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---
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---
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tags:
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- espnet
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- audio
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- speech-enhancement-recognition
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language: en
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datasets:
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- wsj0_2mix_spatialized
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license: cc-by-4.0
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---
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## ESPnet2 EnhS2T model
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### `espnet/yoshiki_wsj0_2mix_spatialized_enh_asr_tfgridnet_waspaa2023_raw_en_char`
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This model was trained by Yoshiki using wsj0_2mix_spatialized recipe in [espnet](https://github.com/espnet/espnet/).
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### Demo: How to use in ESPnet2
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Follow the [ESPnet installation instructions](https://espnet.github.io/espnet/installation.html)
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if you haven't done that already.
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```bash
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cd espnet
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pip install -e .
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cd egs2/wsj0_2mix_spatialized/enh_asr1
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./run.sh --skip_data_prep false --skip_train true --download_model espnet/yoshiki_wsj0_2mix_spatialized_enh_asr_tfgridnet_waspaa2023_raw_en_char
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```
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<!-- Generated by scripts/utils/show_asr_result.sh -->
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# RESULTS
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## Environments
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- date: `Sun Aug 13 19:05:53 UTC 2023`
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- python version: `3.7.4 (default, Aug 13 2019, 20:35:49) [GCC 7.3.0]`
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- espnet version: `espnet 202304`
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- pytorch version: `pytorch 1.10.1+cu111`
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- Git hash: ``
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- Commit date: ``
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## exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char
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### WER
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|---|---|---|---|---|---|---|---|---|
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|decode_asr_transformer_normalize_output_wavtrue_lm_lm_train_lm_transformer_en_char_valid.loss.ave_enh_asr_model_valid.acc.best/tt_spatialized_anechoic_multich_max_16k|6000|98613|98.7|1.2|0.1|0.5|1.7|16.5|
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|decode_asr_transformer_normalize_output_wavtrue_lm_lm_train_lm_transformer_en_char_valid.loss.ave_enh_asr_model_valid.acc.best/tt_spatialized_reverb_multich_max_16k|6000|98613|98.7|1.3|0.1|0.4|1.7|17.8|
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### CER
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|---|---|---|---|---|---|---|---|---|
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|decode_asr_transformer_normalize_output_wavtrue_lm_lm_train_lm_transformer_en_char_valid.loss.ave_enh_asr_model_valid.acc.best/tt_spatialized_anechoic_multich_max_16k|6000|598296|99.6|0.2|0.2|0.3|0.7|21.6|
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|decode_asr_transformer_normalize_output_wavtrue_lm_lm_train_lm_transformer_en_char_valid.loss.ave_enh_asr_model_valid.acc.best/tt_spatialized_reverb_multich_max_16k|6000|598296|99.6|0.2|0.3|0.3|0.7|23.0|
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### TER
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|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
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|---|---|---|---|---|---|---|---|---|
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## EnhS2T config
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<details><summary>expand</summary>
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```
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config: conf/tuning/train_enh_asr_tfgridnet_waspaa.yaml
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print_config: false
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log_level: INFO
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dry_run: false
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iterator_type: sequence
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output_dir: exp/enh_asr_train_enh_asr_tfgridnet_waspaa_raw_en_char
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ngpu: 1
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seed: 0
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num_workers: 0
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num_att_plot: 0
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dist_backend: nccl
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dist_init_method: env://
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dist_world_size: null
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dist_rank: null
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local_rank: 0
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dist_master_addr: null
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dist_master_port: null
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dist_launcher: null
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multiprocessing_distributed: false
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unused_parameters: true
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sharded_ddp: false
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cudnn_enabled: true
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cudnn_benchmark: false
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cudnn_deterministic: true
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collect_stats: false
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write_collected_feats: false
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max_epoch: 11
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patience: 10
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val_scheduler_criterion:
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- valid
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- loss
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early_stopping_criterion:
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- valid
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- loss
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- min
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best_model_criterion:
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- - valid
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- acc
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- max
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- - train
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- loss
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- min
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keep_nbest_models: 10
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nbest_averaging_interval: 0
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grad_clip: 5
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grad_clip_type: 2.0
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grad_noise: false
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accum_grad: 4
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no_forward_run: false
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resume: true
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train_dtype: float32
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use_amp: false
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log_interval: null
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use_matplotlib: true
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use_tensorboard: true
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create_graph_in_tensorboard: false
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use_wandb: false
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wandb_project: null
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wandb_id: null
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wandb_entity: null
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wandb_name: null
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wandb_model_log_interval: -1
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detect_anomaly: false
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pretrain_path: null
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init_param:
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- ../enh1/exp/enh_train_enh_tfgridnet_waspaa2023_raw/valid.loss.best.pth:separator:enh_model.separator
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- ../../wsj/asr1/exp/asr_train_asr_conformer_s3prlfrontend_wavlm_raw_en_char/valid.acc.best.pth:frontend:s2t_model.frontend
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- ../../wsj/asr1/exp/asr_train_asr_conformer_s3prlfrontend_wavlm_raw_en_char/valid.acc.best.pth:preencoder:s2t_model.preencoder
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- ../../wsj/asr1/exp/asr_train_asr_conformer_s3prlfrontend_wavlm_raw_en_char/valid.acc.best.pth:encoder:s2t_model.encoder
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- ../../wsj/asr1/exp/asr_train_asr_conformer_s3prlfrontend_wavlm_raw_en_char/valid.acc.best.pth:ctc:s2t_model.ctc
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- ../../wsj/asr1/exp/asr_train_asr_conformer_s3prlfrontend_wavlm_raw_en_char/valid.acc.best.pth:decoder:s2t_model.decoder
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ignore_init_mismatch: false
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freeze_param:
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- s2t_model.frontend.upstream
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num_iters_per_epoch: 20000
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batch_size: 2
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valid_batch_size: null
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batch_bins: 1000000
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valid_batch_bins: null
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train_shape_file:
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- exp/enh_asr_stats_raw_en_char/train/speech_shape
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- exp/enh_asr_stats_raw_en_char/train/speech_ref1_shape
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- exp/enh_asr_stats_raw_en_char/train/text_spk1_shape.char
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- exp/enh_asr_stats_raw_en_char/train/speech_ref2_shape
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- exp/enh_asr_stats_raw_en_char/train/text_spk2_shape.char
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valid_shape_file:
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- exp/enh_asr_stats_raw_en_char/valid/speech_shape
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- exp/enh_asr_stats_raw_en_char/valid/speech_ref1_shape
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- exp/enh_asr_stats_raw_en_char/valid/text_spk1_shape.char
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- exp/enh_asr_stats_raw_en_char/valid/speech_ref2_shape
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- exp/enh_asr_stats_raw_en_char/valid/text_spk2_shape.char
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batch_type: folded
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valid_batch_type: null
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fold_length:
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- 80000
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- 80000
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- 150
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- 80000
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- 150
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sort_in_batch: descending
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166 |
+
sort_batch: descending
|
167 |
+
multiple_iterator: false
|
168 |
+
chunk_length: 500
|
169 |
+
chunk_shift_ratio: 0.5
|
170 |
+
num_cache_chunks: 1024
|
171 |
+
chunk_excluded_key_prefixes: []
|
172 |
+
train_data_path_and_name_and_type:
|
173 |
+
- - dump/raw/tr_spatialized_multi_multich_max_16k/wav.scp
|
174 |
+
- speech
|
175 |
+
- sound
|
176 |
+
- - dump/raw/tr_spatialized_multi_multich_max_16k/spk1.scp
|
177 |
+
- speech_ref1
|
178 |
+
- sound
|
179 |
+
- - dump/raw/tr_spatialized_multi_multich_max_16k/text_spk1
|
180 |
+
- text_spk1
|
181 |
+
- text
|
182 |
+
- - dump/raw/tr_spatialized_multi_multich_max_16k/spk2.scp
|
183 |
+
- speech_ref2
|
184 |
+
- sound
|
185 |
+
- - dump/raw/tr_spatialized_multi_multich_max_16k/text_spk2
|
186 |
+
- text_spk2
|
187 |
+
- text
|
188 |
+
valid_data_path_and_name_and_type:
|
189 |
+
- - dump/raw/cv_spatialized_multi_multich_max_16k/wav.scp
|
190 |
+
- speech
|
191 |
+
- sound
|
192 |
+
- - dump/raw/cv_spatialized_multi_multich_max_16k/spk1.scp
|
193 |
+
- speech_ref1
|
194 |
+
- sound
|
195 |
+
- - dump/raw/cv_spatialized_multi_multich_max_16k/text_spk1
|
196 |
+
- text_spk1
|
197 |
+
- text
|
198 |
+
- - dump/raw/cv_spatialized_multi_multich_max_16k/spk2.scp
|
199 |
+
- speech_ref2
|
200 |
+
- sound
|
201 |
+
- - dump/raw/cv_spatialized_multi_multich_max_16k/text_spk2
|
202 |
+
- text_spk2
|
203 |
+
- text
|
204 |
+
allow_variable_data_keys: false
|
205 |
+
max_cache_size: 0.0
|
206 |
+
max_cache_fd: 32
|
207 |
+
valid_max_cache_size: null
|
208 |
+
exclude_weight_decay: false
|
209 |
+
exclude_weight_decay_conf: {}
|
210 |
+
optim: sgd
|
211 |
+
optim_conf:
|
212 |
+
lr: 0.001
|
213 |
+
momentum: 0.9
|
214 |
+
scheduler: null
|
215 |
+
scheduler_conf: {}
|
216 |
+
token_list: data/en_token_list/char/tokens.txt
|
217 |
+
src_token_list: null
|
218 |
+
init: xavier_uniform
|
219 |
+
input_size: null
|
220 |
+
ctc_conf:
|
221 |
+
dropout_rate: 0.0
|
222 |
+
ctc_type: builtin
|
223 |
+
reduce: true
|
224 |
+
ignore_nan_grad: null
|
225 |
+
zero_infinity: true
|
226 |
+
enh_criterions:
|
227 |
+
- name: mr_l1_tfd
|
228 |
+
conf:
|
229 |
+
window_sz:
|
230 |
+
- 512
|
231 |
+
time_domain_weight: 1.0
|
232 |
+
wrapper: pit
|
233 |
+
wrapper_conf:
|
234 |
+
weight: 1.0
|
235 |
+
diar_num_spk: null
|
236 |
+
diar_input_size: null
|
237 |
+
enh_model_conf:
|
238 |
+
stft_consistency: false
|
239 |
+
loss_type: mask_mse
|
240 |
+
mask_type: null
|
241 |
+
asr_model_conf:
|
242 |
+
ctc_weight: 0.3
|
243 |
+
lsm_weight: 0.1
|
244 |
+
length_normalized_loss: false
|
245 |
+
extract_feats_in_collect_stats: false
|
246 |
+
st_model_conf:
|
247 |
+
stft_consistency: false
|
248 |
+
loss_type: mask_mse
|
249 |
+
mask_type: null
|
250 |
+
diar_model_conf:
|
251 |
+
diar_weight: 1.0
|
252 |
+
attractor_weight: 1.0
|
253 |
+
subtask_series:
|
254 |
+
- enh
|
255 |
+
- asr
|
256 |
+
model_conf:
|
257 |
+
bypass_enh_prob: 0.0
|
258 |
+
calc_enh_loss: false
|
259 |
+
use_preprocessor: true
|
260 |
+
token_type: char
|
261 |
+
bpemodel: null
|
262 |
+
src_token_type: bpe
|
263 |
+
src_bpemodel: null
|
264 |
+
non_linguistic_symbols: data/nlsyms.txt
|
265 |
+
cleaner: null
|
266 |
+
g2p: null
|
267 |
+
text_name:
|
268 |
+
- text_spk1
|
269 |
+
- text_spk2
|
270 |
+
enh_encoder: same
|
271 |
+
enh_encoder_conf: {}
|
272 |
+
enh_separator: tfgridnet
|
273 |
+
enh_separator_conf:
|
274 |
+
n_srcs: 2
|
275 |
+
n_fft: 512
|
276 |
+
stride: 256
|
277 |
+
window: hann
|
278 |
+
n_imics: 8
|
279 |
+
n_layers: 6
|
280 |
+
lstm_hidden_units: 192
|
281 |
+
attn_n_head: 4
|
282 |
+
attn_approx_qk_dim: 512
|
283 |
+
emb_dim: 48
|
284 |
+
emb_ks: 4
|
285 |
+
emb_hs: 2
|
286 |
+
activation: gelu
|
287 |
+
eps: 1.0e-05
|
288 |
+
ref_channel: 0
|
289 |
+
enh_decoder: same
|
290 |
+
enh_decoder_conf: {}
|
291 |
+
enh_mask_module: multi_mask
|
292 |
+
enh_mask_module_conf: {}
|
293 |
+
frontend: s3prl
|
294 |
+
frontend_conf:
|
295 |
+
frontend_conf:
|
296 |
+
upstream: wavlm_large
|
297 |
+
download_dir: ./hub
|
298 |
+
multilayer_feature: true
|
299 |
+
fs: 16k
|
300 |
+
specaug: specaug
|
301 |
+
specaug_conf:
|
302 |
+
apply_time_warp: true
|
303 |
+
time_warp_window: 5
|
304 |
+
time_warp_mode: bicubic
|
305 |
+
apply_freq_mask: true
|
306 |
+
freq_mask_width_range:
|
307 |
+
- 0
|
308 |
+
- 100
|
309 |
+
num_freq_mask: 4
|
310 |
+
apply_time_mask: true
|
311 |
+
time_mask_width_range:
|
312 |
+
- 0
|
313 |
+
- 40
|
314 |
+
num_time_mask: 2
|
315 |
+
normalize: utterance_mvn
|
316 |
+
normalize_conf: {}
|
317 |
+
asr_preencoder: linear
|
318 |
+
asr_preencoder_conf:
|
319 |
+
input_size: 1024
|
320 |
+
output_size: 80
|
321 |
+
asr_encoder: conformer
|
322 |
+
asr_encoder_conf:
|
323 |
+
output_size: 256
|
324 |
+
attention_heads: 4
|
325 |
+
linear_units: 2048
|
326 |
+
num_blocks: 12
|
327 |
+
dropout_rate: 0.1
|
328 |
+
positional_dropout_rate: 0.1
|
329 |
+
attention_dropout_rate: 0.0
|
330 |
+
input_layer: conv2d2
|
331 |
+
normalize_before: true
|
332 |
+
macaron_style: true
|
333 |
+
rel_pos_type: latest
|
334 |
+
pos_enc_layer_type: rel_pos
|
335 |
+
selfattention_layer_type: rel_selfattn
|
336 |
+
activation_type: swish
|
337 |
+
use_cnn_module: true
|
338 |
+
cnn_module_kernel: 15
|
339 |
+
asr_postencoder: null
|
340 |
+
asr_postencoder_conf: {}
|
341 |
+
asr_decoder: transformer
|
342 |
+
asr_decoder_conf:
|
343 |
+
input_layer: embed
|
344 |
+
attention_heads: 4
|
345 |
+
linear_units: 2048
|
346 |
+
num_blocks: 6
|
347 |
+
dropout_rate: 0.1
|
348 |
+
positional_dropout_rate: 0.1
|
349 |
+
self_attention_dropout_rate: 0.0
|
350 |
+
src_attention_dropout_rate: 0.0
|
351 |
+
st_preencoder: null
|
352 |
+
st_preencoder_conf: {}
|
353 |
+
st_encoder: rnn
|
354 |
+
st_encoder_conf: {}
|
355 |
+
st_postencoder: null
|
356 |
+
st_postencoder_conf: {}
|
357 |
+
st_decoder: rnn
|
358 |
+
st_decoder_conf: {}
|
359 |
+
st_extra_asr_decoder: rnn
|
360 |
+
st_extra_asr_decoder_conf: {}
|
361 |
+
st_extra_mt_decoder: rnn
|
362 |
+
st_extra_mt_decoder_conf: {}
|
363 |
+
diar_frontend: default
|
364 |
+
diar_frontend_conf: {}
|
365 |
+
diar_specaug: null
|
366 |
+
diar_specaug_conf: {}
|
367 |
+
diar_normalize: utterance_mvn
|
368 |
+
diar_normalize_conf: {}
|
369 |
+
diar_encoder: transformer
|
370 |
+
diar_encoder_conf: {}
|
371 |
+
diar_decoder: linear
|
372 |
+
diar_decoder_conf: {}
|
373 |
+
label_aggregator: label_aggregator
|
374 |
+
label_aggregator_conf: {}
|
375 |
+
diar_attractor: null
|
376 |
+
diar_attractor_conf: {}
|
377 |
+
required:
|
378 |
+
- output_dir
|
379 |
+
version: '202304'
|
380 |
+
distributed: false
|
381 |
+
```
|
382 |
+
|
383 |
+
</details>
|
384 |
+
|
385 |
+
|
386 |
+
|
387 |
+
### Citing ESPnet
|
388 |
+
|
389 |
+
```BibTex
|
390 |
+
@inproceedings{watanabe2018espnet,
|
391 |
+
author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
|
392 |
+
title={{ESPnet}: End-to-End Speech Processing Toolkit},
|
393 |
+
year={2018},
|
394 |
+
booktitle={Proceedings of Interspeech},
|
395 |
+
pages={2207--2211},
|
396 |
+
doi={10.21437/Interspeech.2018-1456},
|
397 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
398 |
+
}
|
399 |
+
|
400 |
+
|
401 |
+
|
402 |
+
|
403 |
+
```
|
404 |
+
|
405 |
+
or arXiv:
|
406 |
+
|
407 |
+
```bibtex
|
408 |
+
@misc{watanabe2018espnet,
|
409 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
410 |
+
author={Shinji Watanabe and Takaaki Hori and Shigeki Karita and Tomoki Hayashi and Jiro Nishitoba and Yuya Unno and Nelson Yalta and Jahn Heymann and Matthew Wiesner and Nanxin Chen and Adithya Renduchintala and Tsubasa Ochiai},
|
411 |
+
year={2018},
|
412 |
+
eprint={1804.00015},
|
413 |
+
archivePrefix={arXiv},
|
414 |
+
primaryClass={cs.CL}
|
415 |
+
}
|
416 |
+
```
|
data/nlsyms.txt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
<*IN*>
|
2 |
+
<*MR.*>
|
3 |
+
<NOISE>
|
espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/config.yaml
ADDED
@@ -0,0 +1,193 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
config: conf/train_lm_transformer.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
dry_run: false
|
5 |
+
iterator_type: sequence
|
6 |
+
output_dir: exp/lm_train_lm_transformer_en_char
|
7 |
+
ngpu: 1
|
8 |
+
seed: 0
|
9 |
+
num_workers: 1
|
10 |
+
num_att_plot: 3
|
11 |
+
dist_backend: nccl
|
12 |
+
dist_init_method: env://
|
13 |
+
dist_world_size: null
|
14 |
+
dist_rank: null
|
15 |
+
local_rank: 0
|
16 |
+
dist_master_addr: null
|
17 |
+
dist_master_port: null
|
18 |
+
dist_launcher: null
|
19 |
+
multiprocessing_distributed: false
|
20 |
+
unused_parameters: false
|
21 |
+
sharded_ddp: false
|
22 |
+
cudnn_enabled: true
|
23 |
+
cudnn_benchmark: false
|
24 |
+
cudnn_deterministic: true
|
25 |
+
collect_stats: false
|
26 |
+
write_collected_feats: false
|
27 |
+
max_epoch: 25
|
28 |
+
patience: null
|
29 |
+
val_scheduler_criterion:
|
30 |
+
- valid
|
31 |
+
- loss
|
32 |
+
early_stopping_criterion:
|
33 |
+
- valid
|
34 |
+
- loss
|
35 |
+
- min
|
36 |
+
best_model_criterion:
|
37 |
+
- - valid
|
38 |
+
- loss
|
39 |
+
- min
|
40 |
+
keep_nbest_models: 10
|
41 |
+
nbest_averaging_interval: 0
|
42 |
+
grad_clip: 5.0
|
43 |
+
grad_clip_type: 2.0
|
44 |
+
grad_noise: false
|
45 |
+
accum_grad: 2
|
46 |
+
no_forward_run: false
|
47 |
+
resume: true
|
48 |
+
train_dtype: float32
|
49 |
+
use_amp: false
|
50 |
+
log_interval: null
|
51 |
+
use_matplotlib: true
|
52 |
+
use_tensorboard: true
|
53 |
+
create_graph_in_tensorboard: false
|
54 |
+
use_wandb: false
|
55 |
+
wandb_project: null
|
56 |
+
wandb_id: null
|
57 |
+
wandb_entity: null
|
58 |
+
wandb_name: null
|
59 |
+
wandb_model_log_interval: -1
|
60 |
+
detect_anomaly: false
|
61 |
+
pretrain_path: null
|
62 |
+
init_param: []
|
63 |
+
ignore_init_mismatch: false
|
64 |
+
freeze_param: []
|
65 |
+
num_iters_per_epoch: null
|
66 |
+
batch_size: 20
|
67 |
+
valid_batch_size: null
|
68 |
+
batch_bins: 350000
|
69 |
+
valid_batch_bins: null
|
70 |
+
train_shape_file:
|
71 |
+
- exp/lm_stats_en_char/train/text_shape.char
|
72 |
+
valid_shape_file:
|
73 |
+
- exp/lm_stats_en_char/valid/text_shape.char
|
74 |
+
batch_type: numel
|
75 |
+
valid_batch_type: null
|
76 |
+
fold_length:
|
77 |
+
- 150
|
78 |
+
sort_in_batch: descending
|
79 |
+
sort_batch: descending
|
80 |
+
multiple_iterator: false
|
81 |
+
chunk_length: 500
|
82 |
+
chunk_shift_ratio: 0.5
|
83 |
+
num_cache_chunks: 1024
|
84 |
+
chunk_excluded_key_prefixes: []
|
85 |
+
train_data_path_and_name_and_type:
|
86 |
+
- - dump/raw/lm_train.txt
|
87 |
+
- text
|
88 |
+
- text
|
89 |
+
valid_data_path_and_name_and_type:
|
90 |
+
- - dump/raw/org/test_dev93/text
|
91 |
+
- text
|
92 |
+
- text
|
93 |
+
allow_variable_data_keys: false
|
94 |
+
max_cache_size: 0.0
|
95 |
+
max_cache_fd: 32
|
96 |
+
valid_max_cache_size: null
|
97 |
+
exclude_weight_decay: false
|
98 |
+
exclude_weight_decay_conf: {}
|
99 |
+
optim: adam
|
100 |
+
optim_conf:
|
101 |
+
lr: 0.001
|
102 |
+
scheduler: warmuplr
|
103 |
+
scheduler_conf:
|
104 |
+
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espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/backward_time.png
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espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/iter_time.png
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espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/images/loss.png
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espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/perplexity_test/ppl
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exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/8epoch.pth
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exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/RESULTS.md
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<!-- Generated by scripts/utils/show_asr_result.sh -->
|
2 |
+
# RESULTS
|
3 |
+
## Environments
|
4 |
+
- date: `Sun Aug 13 19:05:53 UTC 2023`
|
5 |
+
- python version: `3.7.4 (default, Aug 13 2019, 20:35:49) [GCC 7.3.0]`
|
6 |
+
- espnet version: `espnet 202304`
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7 |
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- pytorch version: `pytorch 1.10.1+cu111`
|
8 |
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- Git hash: ``
|
9 |
+
- Commit date: ``
|
10 |
+
|
11 |
+
## exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char
|
12 |
+
### WER
|
13 |
+
|
14 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
15 |
+
|---|---|---|---|---|---|---|---|---|
|
16 |
+
|decode_asr_transformer_normalize_output_wavtrue_lm_lm_train_lm_transformer_en_char_valid.loss.ave_enh_asr_model_valid.acc.best/tt_spatialized_anechoic_multich_max_16k|6000|98613|98.7|1.2|0.1|0.5|1.7|16.5|
|
17 |
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|decode_asr_transformer_normalize_output_wavtrue_lm_lm_train_lm_transformer_en_char_valid.loss.ave_enh_asr_model_valid.acc.best/tt_spatialized_reverb_multich_max_16k|6000|98613|98.7|1.3|0.1|0.4|1.7|17.8|
|
18 |
+
|
19 |
+
### CER
|
20 |
+
|
21 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
22 |
+
|---|---|---|---|---|---|---|---|---|
|
23 |
+
|decode_asr_transformer_normalize_output_wavtrue_lm_lm_train_lm_transformer_en_char_valid.loss.ave_enh_asr_model_valid.acc.best/tt_spatialized_anechoic_multich_max_16k|6000|598296|99.6|0.2|0.2|0.3|0.7|21.6|
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24 |
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|decode_asr_transformer_normalize_output_wavtrue_lm_lm_train_lm_transformer_en_char_valid.loss.ave_enh_asr_model_valid.acc.best/tt_spatialized_reverb_multich_max_16k|6000|598296|99.6|0.2|0.3|0.3|0.7|23.0|
|
25 |
+
|
26 |
+
### TER
|
27 |
+
|
28 |
+
|dataset|Snt|Wrd|Corr|Sub|Del|Ins|Err|S.Err|
|
29 |
+
|---|---|---|---|---|---|---|---|---|
|
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/RESULTS_enh.md
ADDED
@@ -0,0 +1,20 @@
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|
1 |
+
<!-- Generated by ./scripts/utils/show_enh_score.sh -->
|
2 |
+
# RESULTS
|
3 |
+
## Environments
|
4 |
+
- date: `Sun Aug 13 19:18:04 UTC 2023`
|
5 |
+
- python version: `3.7.4 (default, Aug 13 2019, 20:35:49) [GCC 7.3.0]`
|
6 |
+
- espnet version: `espnet 202304`
|
7 |
+
- pytorch version: `pytorch 1.10.1+cu111`
|
8 |
+
- Git hash: ``
|
9 |
+
- Commit date: ``
|
10 |
+
|
11 |
+
|
12 |
+
## enh_asr_train_enh_asr_tfgridnet_waspaa_raw_en_char
|
13 |
+
|
14 |
+
config: conf/tuning/train_enh_asr_tfgridnet_waspaa2023.yaml
|
15 |
+
|
16 |
+
|dataset|STOI|SAR|SDR|SIR|SI_SNR|
|
17 |
+
|---|---|---|---|---|---|
|
18 |
+
|enhanced_tt_spatialized_anechoic_multich_max_16k|97.73|13.36|13.19|29.59|12.63|
|
19 |
+
|enhanced_tt_spatialized_reverb_multich_max_16k|95.15|11.68|11.47|26.41|10.91|
|
20 |
+
|
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/config.yaml
ADDED
@@ -0,0 +1,315 @@
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|
1 |
+
config: conf/tuning/train_enh_asr_tfgridnet_waspaa.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
dry_run: false
|
5 |
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iterator_type: sequence
|
6 |
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output_dir: exp/enh_asr_train_enh_asr_tfgridnet_waspaa_raw_en_char
|
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ngpu: 1
|
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|
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dist_master_addr: null
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multiprocessing_distributed: false
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unused_parameters: true
|
21 |
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sharded_ddp: false
|
22 |
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cudnn_enabled: true
|
23 |
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cudnn_benchmark: false
|
24 |
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cudnn_deterministic: true
|
25 |
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collect_stats: false
|
26 |
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write_collected_feats: false
|
27 |
+
max_epoch: 11
|
28 |
+
patience: 10
|
29 |
+
val_scheduler_criterion:
|
30 |
+
- valid
|
31 |
+
- loss
|
32 |
+
early_stopping_criterion:
|
33 |
+
- valid
|
34 |
+
- loss
|
35 |
+
- min
|
36 |
+
best_model_criterion:
|
37 |
+
- - valid
|
38 |
+
- acc
|
39 |
+
- max
|
40 |
+
- - train
|
41 |
+
- loss
|
42 |
+
- min
|
43 |
+
keep_nbest_models: 10
|
44 |
+
nbest_averaging_interval: 0
|
45 |
+
grad_clip: 5
|
46 |
+
grad_clip_type: 2.0
|
47 |
+
grad_noise: false
|
48 |
+
accum_grad: 4
|
49 |
+
no_forward_run: false
|
50 |
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resume: true
|
51 |
+
train_dtype: float32
|
52 |
+
use_amp: false
|
53 |
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log_interval: null
|
54 |
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use_matplotlib: true
|
55 |
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use_tensorboard: true
|
56 |
+
create_graph_in_tensorboard: false
|
57 |
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use_wandb: false
|
58 |
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wandb_project: null
|
59 |
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wandb_id: null
|
60 |
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wandb_entity: null
|
61 |
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wandb_name: null
|
62 |
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wandb_model_log_interval: -1
|
63 |
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detect_anomaly: false
|
64 |
+
pretrain_path: null
|
65 |
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init_param:
|
66 |
+
- ../enh1/exp/enh_train_enh_tfgridnet_waspaa2023_raw/valid.loss.best.pth:separator:enh_model.separator
|
67 |
+
- ../../wsj/asr1/exp/asr_train_asr_conformer_s3prlfrontend_wavlm_raw_en_char/valid.acc.best.pth:frontend:s2t_model.frontend
|
68 |
+
- ../../wsj/asr1/exp/asr_train_asr_conformer_s3prlfrontend_wavlm_raw_en_char/valid.acc.best.pth:preencoder:s2t_model.preencoder
|
69 |
+
- ../../wsj/asr1/exp/asr_train_asr_conformer_s3prlfrontend_wavlm_raw_en_char/valid.acc.best.pth:encoder:s2t_model.encoder
|
70 |
+
- ../../wsj/asr1/exp/asr_train_asr_conformer_s3prlfrontend_wavlm_raw_en_char/valid.acc.best.pth:ctc:s2t_model.ctc
|
71 |
+
- ../../wsj/asr1/exp/asr_train_asr_conformer_s3prlfrontend_wavlm_raw_en_char/valid.acc.best.pth:decoder:s2t_model.decoder
|
72 |
+
ignore_init_mismatch: false
|
73 |
+
freeze_param:
|
74 |
+
- s2t_model.frontend.upstream
|
75 |
+
num_iters_per_epoch: 20000
|
76 |
+
batch_size: 2
|
77 |
+
valid_batch_size: null
|
78 |
+
batch_bins: 1000000
|
79 |
+
valid_batch_bins: null
|
80 |
+
train_shape_file:
|
81 |
+
- exp/enh_asr_stats_raw_en_char/train/speech_shape
|
82 |
+
- exp/enh_asr_stats_raw_en_char/train/speech_ref1_shape
|
83 |
+
- exp/enh_asr_stats_raw_en_char/train/text_spk1_shape.char
|
84 |
+
- exp/enh_asr_stats_raw_en_char/train/speech_ref2_shape
|
85 |
+
- exp/enh_asr_stats_raw_en_char/train/text_spk2_shape.char
|
86 |
+
valid_shape_file:
|
87 |
+
- exp/enh_asr_stats_raw_en_char/valid/speech_shape
|
88 |
+
- exp/enh_asr_stats_raw_en_char/valid/speech_ref1_shape
|
89 |
+
- exp/enh_asr_stats_raw_en_char/valid/text_spk1_shape.char
|
90 |
+
- exp/enh_asr_stats_raw_en_char/valid/speech_ref2_shape
|
91 |
+
- exp/enh_asr_stats_raw_en_char/valid/text_spk2_shape.char
|
92 |
+
batch_type: folded
|
93 |
+
valid_batch_type: null
|
94 |
+
fold_length:
|
95 |
+
- 80000
|
96 |
+
- 80000
|
97 |
+
- 150
|
98 |
+
- 80000
|
99 |
+
- 150
|
100 |
+
sort_in_batch: descending
|
101 |
+
sort_batch: descending
|
102 |
+
multiple_iterator: false
|
103 |
+
chunk_length: 500
|
104 |
+
chunk_shift_ratio: 0.5
|
105 |
+
num_cache_chunks: 1024
|
106 |
+
chunk_excluded_key_prefixes: []
|
107 |
+
train_data_path_and_name_and_type:
|
108 |
+
- - dump/raw/tr_spatialized_multi_multich_max_16k/wav.scp
|
109 |
+
- speech
|
110 |
+
- sound
|
111 |
+
- - dump/raw/tr_spatialized_multi_multich_max_16k/spk1.scp
|
112 |
+
- speech_ref1
|
113 |
+
- sound
|
114 |
+
- - dump/raw/tr_spatialized_multi_multich_max_16k/text_spk1
|
115 |
+
- text_spk1
|
116 |
+
- text
|
117 |
+
- - dump/raw/tr_spatialized_multi_multich_max_16k/spk2.scp
|
118 |
+
- speech_ref2
|
119 |
+
- sound
|
120 |
+
- - dump/raw/tr_spatialized_multi_multich_max_16k/text_spk2
|
121 |
+
- text_spk2
|
122 |
+
- text
|
123 |
+
valid_data_path_and_name_and_type:
|
124 |
+
- - dump/raw/cv_spatialized_multi_multich_max_16k/wav.scp
|
125 |
+
- speech
|
126 |
+
- sound
|
127 |
+
- - dump/raw/cv_spatialized_multi_multich_max_16k/spk1.scp
|
128 |
+
- speech_ref1
|
129 |
+
- sound
|
130 |
+
- - dump/raw/cv_spatialized_multi_multich_max_16k/text_spk1
|
131 |
+
- text_spk1
|
132 |
+
- text
|
133 |
+
- - dump/raw/cv_spatialized_multi_multich_max_16k/spk2.scp
|
134 |
+
- speech_ref2
|
135 |
+
- sound
|
136 |
+
- - dump/raw/cv_spatialized_multi_multich_max_16k/text_spk2
|
137 |
+
- text_spk2
|
138 |
+
- text
|
139 |
+
allow_variable_data_keys: false
|
140 |
+
max_cache_size: 0.0
|
141 |
+
max_cache_fd: 32
|
142 |
+
valid_max_cache_size: null
|
143 |
+
exclude_weight_decay: false
|
144 |
+
exclude_weight_decay_conf: {}
|
145 |
+
optim: sgd
|
146 |
+
optim_conf:
|
147 |
+
lr: 0.001
|
148 |
+
momentum: 0.9
|
149 |
+
scheduler: null
|
150 |
+
scheduler_conf: {}
|
151 |
+
token_list: data/en_token_list/char/tokens.txt
|
152 |
+
src_token_list: null
|
153 |
+
init: xavier_uniform
|
154 |
+
input_size: null
|
155 |
+
ctc_conf:
|
156 |
+
dropout_rate: 0.0
|
157 |
+
ctc_type: builtin
|
158 |
+
reduce: true
|
159 |
+
ignore_nan_grad: null
|
160 |
+
zero_infinity: true
|
161 |
+
enh_criterions:
|
162 |
+
- name: mr_l1_tfd
|
163 |
+
conf:
|
164 |
+
window_sz:
|
165 |
+
- 512
|
166 |
+
time_domain_weight: 1.0
|
167 |
+
wrapper: pit
|
168 |
+
wrapper_conf:
|
169 |
+
weight: 1.0
|
170 |
+
diar_num_spk: null
|
171 |
+
diar_input_size: null
|
172 |
+
enh_model_conf:
|
173 |
+
stft_consistency: false
|
174 |
+
loss_type: mask_mse
|
175 |
+
mask_type: null
|
176 |
+
asr_model_conf:
|
177 |
+
ctc_weight: 0.3
|
178 |
+
lsm_weight: 0.1
|
179 |
+
length_normalized_loss: false
|
180 |
+
extract_feats_in_collect_stats: false
|
181 |
+
st_model_conf:
|
182 |
+
stft_consistency: false
|
183 |
+
loss_type: mask_mse
|
184 |
+
mask_type: null
|
185 |
+
diar_model_conf:
|
186 |
+
diar_weight: 1.0
|
187 |
+
attractor_weight: 1.0
|
188 |
+
subtask_series:
|
189 |
+
- enh
|
190 |
+
- asr
|
191 |
+
model_conf:
|
192 |
+
bypass_enh_prob: 0.0
|
193 |
+
calc_enh_loss: false
|
194 |
+
use_preprocessor: true
|
195 |
+
token_type: char
|
196 |
+
bpemodel: null
|
197 |
+
src_token_type: bpe
|
198 |
+
src_bpemodel: null
|
199 |
+
non_linguistic_symbols: data/nlsyms.txt
|
200 |
+
cleaner: null
|
201 |
+
g2p: null
|
202 |
+
text_name:
|
203 |
+
- text_spk1
|
204 |
+
- text_spk2
|
205 |
+
enh_encoder: same
|
206 |
+
enh_encoder_conf: {}
|
207 |
+
enh_separator: tfgridnet
|
208 |
+
enh_separator_conf:
|
209 |
+
n_srcs: 2
|
210 |
+
n_fft: 512
|
211 |
+
stride: 256
|
212 |
+
window: hann
|
213 |
+
n_imics: 8
|
214 |
+
n_layers: 6
|
215 |
+
lstm_hidden_units: 192
|
216 |
+
attn_n_head: 4
|
217 |
+
attn_approx_qk_dim: 512
|
218 |
+
emb_dim: 48
|
219 |
+
emb_ks: 4
|
220 |
+
emb_hs: 2
|
221 |
+
activation: gelu
|
222 |
+
eps: 1.0e-05
|
223 |
+
ref_channel: 0
|
224 |
+
enh_decoder: same
|
225 |
+
enh_decoder_conf: {}
|
226 |
+
enh_mask_module: multi_mask
|
227 |
+
enh_mask_module_conf: {}
|
228 |
+
frontend: s3prl
|
229 |
+
frontend_conf:
|
230 |
+
frontend_conf:
|
231 |
+
upstream: wavlm_large
|
232 |
+
download_dir: ./hub
|
233 |
+
multilayer_feature: true
|
234 |
+
fs: 16k
|
235 |
+
specaug: specaug
|
236 |
+
specaug_conf:
|
237 |
+
apply_time_warp: true
|
238 |
+
time_warp_window: 5
|
239 |
+
time_warp_mode: bicubic
|
240 |
+
apply_freq_mask: true
|
241 |
+
freq_mask_width_range:
|
242 |
+
- 0
|
243 |
+
- 100
|
244 |
+
num_freq_mask: 4
|
245 |
+
apply_time_mask: true
|
246 |
+
time_mask_width_range:
|
247 |
+
- 0
|
248 |
+
- 40
|
249 |
+
num_time_mask: 2
|
250 |
+
normalize: utterance_mvn
|
251 |
+
normalize_conf: {}
|
252 |
+
asr_preencoder: linear
|
253 |
+
asr_preencoder_conf:
|
254 |
+
input_size: 1024
|
255 |
+
output_size: 80
|
256 |
+
asr_encoder: conformer
|
257 |
+
asr_encoder_conf:
|
258 |
+
output_size: 256
|
259 |
+
attention_heads: 4
|
260 |
+
linear_units: 2048
|
261 |
+
num_blocks: 12
|
262 |
+
dropout_rate: 0.1
|
263 |
+
positional_dropout_rate: 0.1
|
264 |
+
attention_dropout_rate: 0.0
|
265 |
+
input_layer: conv2d2
|
266 |
+
normalize_before: true
|
267 |
+
macaron_style: true
|
268 |
+
rel_pos_type: latest
|
269 |
+
pos_enc_layer_type: rel_pos
|
270 |
+
selfattention_layer_type: rel_selfattn
|
271 |
+
activation_type: swish
|
272 |
+
use_cnn_module: true
|
273 |
+
cnn_module_kernel: 15
|
274 |
+
asr_postencoder: null
|
275 |
+
asr_postencoder_conf: {}
|
276 |
+
asr_decoder: transformer
|
277 |
+
asr_decoder_conf:
|
278 |
+
input_layer: embed
|
279 |
+
attention_heads: 4
|
280 |
+
linear_units: 2048
|
281 |
+
num_blocks: 6
|
282 |
+
dropout_rate: 0.1
|
283 |
+
positional_dropout_rate: 0.1
|
284 |
+
self_attention_dropout_rate: 0.0
|
285 |
+
src_attention_dropout_rate: 0.0
|
286 |
+
st_preencoder: null
|
287 |
+
st_preencoder_conf: {}
|
288 |
+
st_encoder: rnn
|
289 |
+
st_encoder_conf: {}
|
290 |
+
st_postencoder: null
|
291 |
+
st_postencoder_conf: {}
|
292 |
+
st_decoder: rnn
|
293 |
+
st_decoder_conf: {}
|
294 |
+
st_extra_asr_decoder: rnn
|
295 |
+
st_extra_asr_decoder_conf: {}
|
296 |
+
st_extra_mt_decoder: rnn
|
297 |
+
st_extra_mt_decoder_conf: {}
|
298 |
+
diar_frontend: default
|
299 |
+
diar_frontend_conf: {}
|
300 |
+
diar_specaug: null
|
301 |
+
diar_specaug_conf: {}
|
302 |
+
diar_normalize: utterance_mvn
|
303 |
+
diar_normalize_conf: {}
|
304 |
+
diar_encoder: transformer
|
305 |
+
diar_encoder_conf: {}
|
306 |
+
diar_decoder: linear
|
307 |
+
diar_decoder_conf: {}
|
308 |
+
label_aggregator: label_aggregator
|
309 |
+
label_aggregator_conf: {}
|
310 |
+
diar_attractor: null
|
311 |
+
diar_attractor_conf: {}
|
312 |
+
required:
|
313 |
+
- output_dir
|
314 |
+
version: '202304'
|
315 |
+
distributed: false
|
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/acc.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/backward_time.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/cer.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/cer_ctc.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/clip.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/forward_time.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/gpu_max_cached_mem_GB.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/grad_norm.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/iter_time.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/loss.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/loss_asr.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/loss_att.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/loss_ctc.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/loss_enh.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/loss_scale.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/optim0_lr0.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/optim_step_time.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/train_time.png
ADDED
exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/images/wer.png
ADDED
meta.yaml
ADDED
@@ -0,0 +1,10 @@
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|
|
|
|
1 |
+
espnet: '202304'
|
2 |
+
files:
|
3 |
+
enh_s2t_model_file: exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/8epoch.pth
|
4 |
+
lm_file: /espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/valid.loss.ave_10best.pth
|
5 |
+
python: "3.7.4 (default, Aug 13 2019, 20:35:49) \n[GCC 7.3.0]"
|
6 |
+
timestamp: 1692067642.684803
|
7 |
+
torch: 1.10.1+cu111
|
8 |
+
yaml_files:
|
9 |
+
enh_s2t_train_config: exp/enh_asr_train_enh_asr_tfgridnet_waspaa2023_raw_en_char/config.yaml
|
10 |
+
lm_train_config: /espnet/egs2/wsj/asr1/exp/lm_train_lm_transformer_en_char/config.yaml
|