Wangyou Zhang
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Browse files- README.md +314 -0
- exp/enh_train_enh_tfgridnet_raw/21epoch.pth +3 -0
- exp/enh_train_enh_tfgridnet_raw/RESULTS.md +1 -0
- exp/enh_train_enh_tfgridnet_raw/config.yaml +232 -0
- exp/enh_train_enh_tfgridnet_raw/images/backward_time.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/clip.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/forward_time.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/gpu_max_cached_mem_GB.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/grad_norm.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/iter_time.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_16000Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_22050Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_24000Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_32000Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_44100Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_48000Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_8000Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/loss.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/loss_scale.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/optim0_lr0.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/optim_step_time.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_16000Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_22050Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_24000Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_32000Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_44100Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_48000Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_8000Hz.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/images/train_time.png +0 -0
- exp/enh_train_enh_tfgridnet_raw/valid.loss.best.pth +1 -0
- meta.yaml +8 -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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- audio
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- audio-to-audio
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language: en
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datasets:
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- urgent24
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license: cc-by-4.0
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library_name: espnet
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---
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## ESPnet2 ENH model
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### `wyz/tfgridnet_for_urgent24`
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This model was trained by Wangyou Zhang using the wsj0_2mix 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/urgent24/enh1
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./run.sh --skip_data_prep false --skip_train true --is_tse_task true --download_model wyz/tfgridnet_for_urgent24
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```
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## ENH config
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<details><summary>expand</summary>
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```
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config: conf/tuning/train_enh_tfgridnet.yaml
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print_config: false
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log_level: INFO
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drop_last_iter: false
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dry_run: false
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iterator_type: chunk
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valid_iterator_type: null
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output_dir: exp/enh_train_enh_tfgridnet_raw
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ngpu: 1
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seed: 0
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num_workers: 4
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num_att_plot: 3
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dist_backend: nccl
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dist_init_method: env://
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dist_world_size: 4
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dist_rank: 0
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local_rank: 0
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dist_master_addr: localhost
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dist_master_port: 54825
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dist_launcher: null
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multiprocessing_distributed: true
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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: 100
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patience: 40
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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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- loss
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- min
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keep_nbest_models: 1
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nbest_averaging_interval: 0
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grad_clip: 1.0
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grad_clip_type: 2.0
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grad_noise: false
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accum_grad: 1
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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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use_adapter: false
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adapter: lora
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save_strategy: all
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adapter_conf: {}
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pretrain_path: null
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init_param: []
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ignore_init_mismatch: false
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freeze_param: []
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num_iters_per_epoch: 8000
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batch_size: 4
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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_stats_16k/train/speech_mix_shape
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- exp/enh_stats_16k/train/speech_ref1_shape
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valid_shape_file:
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- exp/enh_stats_16k/valid/speech_mix_shape
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- exp/enh_stats_16k/valid/speech_ref1_shape
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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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sort_in_batch: descending
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shuffle_within_batch: false
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sort_batch: descending
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multiple_iterator: false
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chunk_length: 200
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chunk_shift_ratio: 0.5
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num_cache_chunks: 1024
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chunk_excluded_key_prefixes: []
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chunk_default_fs: 50
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chunk_max_abs_length: 100000
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chunk_discard_short_samples: true
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train_data_path_and_name_and_type:
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- - dump/raw/train/wav.scp
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- speech_mix
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- sound
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- - dump/raw/train/spk1.scp
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- speech_ref1
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- sound
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- - dump/raw/train/utt2category
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- category
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- text
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- - dump/raw/train/utt2fs
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- fs
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- text_int
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valid_data_path_and_name_and_type:
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- - dump/raw/validation/wav.scp
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- speech_mix
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- sound
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- - dump/raw/validation/spk1.scp
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- speech_ref1
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- sound
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- - dump/raw/validation/utt2category
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- category
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- text
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- - dump/raw/validation/utt2fs
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- fs
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- text_int
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allow_variable_data_keys: false
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max_cache_size: 0.0
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max_cache_fd: 32
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allow_multi_rates: true
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valid_max_cache_size: null
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exclude_weight_decay: false
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exclude_weight_decay_conf: {}
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optim: adam
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optim_conf:
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lr: 0.001
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eps: 1.0e-08
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weight_decay: 1.0e-05
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scheduler: steplr
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scheduler_conf:
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step_size: 2
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gamma: 0.99
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init: null
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model_conf:
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normalize_variance_per_ch: true
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categories:
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- 1ch_8000Hz
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- 1ch_16000Hz
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- 1ch_22050Hz
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- 1ch_24000Hz
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- 1ch_32000Hz
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- 1ch_44100Hz
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- 1ch_48000Hz
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criterions:
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- name: mr_l1_tfd
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conf:
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window_sz:
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- 256
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- 512
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- 768
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- 1024
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hop_sz: null
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eps: 1.0e-08
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time_domain_weight: 0.5
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normalize_variance: true
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wrapper: fixed_order
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wrapper_conf:
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weight: 1.0
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- name: si_snr
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conf:
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eps: 1.0e-07
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wrapper: fixed_order
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wrapper_conf:
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weight: 0.0
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speech_volume_normalize: null
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rir_scp: null
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rir_apply_prob: 1.0
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noise_scp: null
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noise_apply_prob: 1.0
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noise_db_range: '13_15'
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short_noise_thres: 0.5
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use_reverberant_ref: false
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num_spk: 1
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num_noise_type: 1
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sample_rate: 8000
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force_single_channel: true
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channel_reordering: true
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categories:
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- 1ch_8000Hz
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- 1ch_16000Hz
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- 1ch_22050Hz
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- 1ch_24000Hz
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- 1ch_32000Hz
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- 1ch_44100Hz
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- 1ch_48000Hz
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speech_segment: null
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avoid_allzero_segment: true
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flexible_numspk: false
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dynamic_mixing: false
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utt2spk: null
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dynamic_mixing_gain_db: 0.0
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encoder: stft
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encoder_conf:
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n_fft: 256
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hop_length: 128
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use_builtin_complex: true
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default_fs: 8000
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separator: tfgridnetv3
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separator_conf:
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n_srcs: 1
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n_imics: 1
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n_layers: 6
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lstm_hidden_units: 200
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attn_n_head: 4
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attn_qk_output_channel: 2
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emb_dim: 48
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+
emb_ks: 4
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emb_hs: 1
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activation: prelu
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eps: 1.0e-05
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decoder: stft
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+
decoder_conf:
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+
n_fft: 256
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+
hop_length: 128
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+
default_fs: 8000
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mask_module: multi_mask
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+
mask_module_conf: {}
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+
preprocessor: enh
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preprocessor_conf: {}
|
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+
diffusion_model: null
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diffusion_model_conf: {}
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required:
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+
- output_dir
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+
version: '202402'
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distributed: true
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+
```
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+
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</details>
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+
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+
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### Citing ESPnet
|
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+
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```BibTex
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+
@inproceedings{watanabe2018espnet,
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+
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},
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title={{ESPnet}: End-to-End Speech Processing Toolkit},
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year={2018},
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+
booktitle={Proceedings of Interspeech},
|
282 |
+
pages={2207--2211},
|
283 |
+
doi={10.21437/Interspeech.2018-1456},
|
284 |
+
url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
|
285 |
+
}
|
286 |
+
|
287 |
+
|
288 |
+
@inproceedings{ESPnet-SE,
|
289 |
+
author = {Chenda Li and Jing Shi and Wangyou Zhang and Aswin Shanmugam Subramanian and Xuankai Chang and
|
290 |
+
Naoyuki Kamo and Moto Hira and Tomoki Hayashi and Christoph B{"{o}}ddeker and Zhuo Chen and Shinji Watanabe},
|
291 |
+
title = {ESPnet-SE: End-To-End Speech Enhancement and Separation Toolkit Designed for {ASR} Integration},
|
292 |
+
booktitle = {{IEEE} Spoken Language Technology Workshop, {SLT} 2021, Shenzhen, China, January 19-22, 2021},
|
293 |
+
pages = {785--792},
|
294 |
+
publisher = {{IEEE}},
|
295 |
+
year = {2021},
|
296 |
+
url = {https://doi.org/10.1109/SLT48900.2021.9383615},
|
297 |
+
doi = {10.1109/SLT48900.2021.9383615},
|
298 |
+
timestamp = {Mon, 12 Apr 2021 17:08:59 +0200},
|
299 |
+
biburl = {https://dblp.org/rec/conf/slt/Li0ZSCKHHBC021.bib},
|
300 |
+
bibsource = {dblp computer science bibliography, https://dblp.org}
|
301 |
+
}
|
302 |
+
|
303 |
+
|
304 |
+
```
|
305 |
+
|
306 |
+
or arXiv:
|
307 |
+
|
308 |
+
```bibtex
|
309 |
+
@misc{watanabe2018espnet,
|
310 |
+
title={ESPnet: End-to-End Speech Processing Toolkit},
|
311 |
+
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},
|
312 |
+
year={2018},
|
313 |
+
eprint={1804.00015},
|
314 |
+
archivePrefix={arXiv},
|
315 |
+
primaryClass={cs.CL}
|
316 |
+
}
|
317 |
+
```
|
exp/enh_train_enh_tfgridnet_raw/21epoch.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:be416f78659998e8196fd6565adb50b35e2645cea23d15d28c081fda40504751
|
3 |
+
size 34175373
|
exp/enh_train_enh_tfgridnet_raw/RESULTS.md
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
This model was trained on simulated data (based on DNS5 Engligh speech, CommonVoice 11.0 English portion, LibriTTS, VCTK, and WSJ) for 21 epochs.
|
exp/enh_train_enh_tfgridnet_raw/config.yaml
ADDED
@@ -0,0 +1,232 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
config: conf/tuning/train_enh_tfgridnet.yaml
|
2 |
+
print_config: false
|
3 |
+
log_level: INFO
|
4 |
+
drop_last_iter: false
|
5 |
+
dry_run: false
|
6 |
+
iterator_type: chunk
|
7 |
+
valid_iterator_type: null
|
8 |
+
output_dir: exp/enh_train_enh_tfgridnet_raw
|
9 |
+
ngpu: 1
|
10 |
+
seed: 0
|
11 |
+
num_workers: 4
|
12 |
+
num_att_plot: 3
|
13 |
+
dist_backend: nccl
|
14 |
+
dist_init_method: env://
|
15 |
+
dist_world_size: 4
|
16 |
+
dist_rank: 0
|
17 |
+
local_rank: 0
|
18 |
+
dist_master_addr: localhost
|
19 |
+
dist_master_port: 54825
|
20 |
+
dist_launcher: null
|
21 |
+
multiprocessing_distributed: true
|
22 |
+
unused_parameters: true
|
23 |
+
sharded_ddp: false
|
24 |
+
cudnn_enabled: true
|
25 |
+
cudnn_benchmark: false
|
26 |
+
cudnn_deterministic: true
|
27 |
+
collect_stats: false
|
28 |
+
write_collected_feats: false
|
29 |
+
max_epoch: 100
|
30 |
+
patience: 40
|
31 |
+
val_scheduler_criterion:
|
32 |
+
- valid
|
33 |
+
- loss
|
34 |
+
early_stopping_criterion:
|
35 |
+
- valid
|
36 |
+
- loss
|
37 |
+
- min
|
38 |
+
best_model_criterion:
|
39 |
+
- - valid
|
40 |
+
- loss
|
41 |
+
- min
|
42 |
+
keep_nbest_models: 1
|
43 |
+
nbest_averaging_interval: 0
|
44 |
+
grad_clip: 1.0
|
45 |
+
grad_clip_type: 2.0
|
46 |
+
grad_noise: false
|
47 |
+
accum_grad: 1
|
48 |
+
no_forward_run: false
|
49 |
+
resume: true
|
50 |
+
train_dtype: float32
|
51 |
+
use_amp: false
|
52 |
+
log_interval: null
|
53 |
+
use_matplotlib: true
|
54 |
+
use_tensorboard: true
|
55 |
+
create_graph_in_tensorboard: false
|
56 |
+
use_wandb: false
|
57 |
+
wandb_project: null
|
58 |
+
wandb_id: null
|
59 |
+
wandb_entity: null
|
60 |
+
wandb_name: null
|
61 |
+
wandb_model_log_interval: -1
|
62 |
+
detect_anomaly: false
|
63 |
+
use_adapter: false
|
64 |
+
adapter: lora
|
65 |
+
save_strategy: all
|
66 |
+
adapter_conf: {}
|
67 |
+
pretrain_path: null
|
68 |
+
init_param: []
|
69 |
+
ignore_init_mismatch: false
|
70 |
+
freeze_param: []
|
71 |
+
num_iters_per_epoch: 8000
|
72 |
+
batch_size: 4
|
73 |
+
valid_batch_size: null
|
74 |
+
batch_bins: 1000000
|
75 |
+
valid_batch_bins: null
|
76 |
+
train_shape_file:
|
77 |
+
- exp/enh_stats_16k/train/speech_mix_shape
|
78 |
+
- exp/enh_stats_16k/train/speech_ref1_shape
|
79 |
+
valid_shape_file:
|
80 |
+
- exp/enh_stats_16k/valid/speech_mix_shape
|
81 |
+
- exp/enh_stats_16k/valid/speech_ref1_shape
|
82 |
+
batch_type: folded
|
83 |
+
valid_batch_type: null
|
84 |
+
fold_length:
|
85 |
+
- 80000
|
86 |
+
- 80000
|
87 |
+
sort_in_batch: descending
|
88 |
+
shuffle_within_batch: false
|
89 |
+
sort_batch: descending
|
90 |
+
multiple_iterator: false
|
91 |
+
chunk_length: 200
|
92 |
+
chunk_shift_ratio: 0.5
|
93 |
+
num_cache_chunks: 1024
|
94 |
+
chunk_excluded_key_prefixes: []
|
95 |
+
chunk_default_fs: 50
|
96 |
+
chunk_max_abs_length: 100000
|
97 |
+
chunk_discard_short_samples: true
|
98 |
+
train_data_path_and_name_and_type:
|
99 |
+
- - dump/raw/train/wav.scp
|
100 |
+
- speech_mix
|
101 |
+
- sound
|
102 |
+
- - dump/raw/train/spk1.scp
|
103 |
+
- speech_ref1
|
104 |
+
- sound
|
105 |
+
- - dump/raw/train/utt2category
|
106 |
+
- category
|
107 |
+
- text
|
108 |
+
- - dump/raw/train/utt2fs
|
109 |
+
- fs
|
110 |
+
- text_int
|
111 |
+
valid_data_path_and_name_and_type:
|
112 |
+
- - dump/raw/validation/wav.scp
|
113 |
+
- speech_mix
|
114 |
+
- sound
|
115 |
+
- - dump/raw/validation/spk1.scp
|
116 |
+
- speech_ref1
|
117 |
+
- sound
|
118 |
+
- - dump/raw/validation/utt2category
|
119 |
+
- category
|
120 |
+
- text
|
121 |
+
- - dump/raw/validation/utt2fs
|
122 |
+
- fs
|
123 |
+
- text_int
|
124 |
+
allow_variable_data_keys: false
|
125 |
+
max_cache_size: 0.0
|
126 |
+
max_cache_fd: 32
|
127 |
+
allow_multi_rates: true
|
128 |
+
valid_max_cache_size: null
|
129 |
+
exclude_weight_decay: false
|
130 |
+
exclude_weight_decay_conf: {}
|
131 |
+
optim: adam
|
132 |
+
optim_conf:
|
133 |
+
lr: 0.001
|
134 |
+
eps: 1.0e-08
|
135 |
+
weight_decay: 1.0e-05
|
136 |
+
scheduler: steplr
|
137 |
+
scheduler_conf:
|
138 |
+
step_size: 2
|
139 |
+
gamma: 0.99
|
140 |
+
init: null
|
141 |
+
model_conf:
|
142 |
+
normalize_variance_per_ch: true
|
143 |
+
categories:
|
144 |
+
- 1ch_8000Hz
|
145 |
+
- 1ch_16000Hz
|
146 |
+
- 1ch_22050Hz
|
147 |
+
- 1ch_24000Hz
|
148 |
+
- 1ch_32000Hz
|
149 |
+
- 1ch_44100Hz
|
150 |
+
- 1ch_48000Hz
|
151 |
+
criterions:
|
152 |
+
- name: mr_l1_tfd
|
153 |
+
conf:
|
154 |
+
window_sz:
|
155 |
+
- 256
|
156 |
+
- 512
|
157 |
+
- 768
|
158 |
+
- 1024
|
159 |
+
hop_sz: null
|
160 |
+
eps: 1.0e-08
|
161 |
+
time_domain_weight: 0.5
|
162 |
+
normalize_variance: true
|
163 |
+
wrapper: fixed_order
|
164 |
+
wrapper_conf:
|
165 |
+
weight: 1.0
|
166 |
+
- name: si_snr
|
167 |
+
conf:
|
168 |
+
eps: 1.0e-07
|
169 |
+
wrapper: fixed_order
|
170 |
+
wrapper_conf:
|
171 |
+
weight: 0.0
|
172 |
+
speech_volume_normalize: null
|
173 |
+
rir_scp: null
|
174 |
+
rir_apply_prob: 1.0
|
175 |
+
noise_scp: null
|
176 |
+
noise_apply_prob: 1.0
|
177 |
+
noise_db_range: '13_15'
|
178 |
+
short_noise_thres: 0.5
|
179 |
+
use_reverberant_ref: false
|
180 |
+
num_spk: 1
|
181 |
+
num_noise_type: 1
|
182 |
+
sample_rate: 8000
|
183 |
+
force_single_channel: true
|
184 |
+
channel_reordering: true
|
185 |
+
categories:
|
186 |
+
- 1ch_8000Hz
|
187 |
+
- 1ch_16000Hz
|
188 |
+
- 1ch_22050Hz
|
189 |
+
- 1ch_24000Hz
|
190 |
+
- 1ch_32000Hz
|
191 |
+
- 1ch_44100Hz
|
192 |
+
- 1ch_48000Hz
|
193 |
+
speech_segment: null
|
194 |
+
avoid_allzero_segment: true
|
195 |
+
flexible_numspk: false
|
196 |
+
dynamic_mixing: false
|
197 |
+
utt2spk: null
|
198 |
+
dynamic_mixing_gain_db: 0.0
|
199 |
+
encoder: stft
|
200 |
+
encoder_conf:
|
201 |
+
n_fft: 256
|
202 |
+
hop_length: 128
|
203 |
+
use_builtin_complex: true
|
204 |
+
default_fs: 8000
|
205 |
+
separator: tfgridnetv3
|
206 |
+
separator_conf:
|
207 |
+
n_srcs: 1
|
208 |
+
n_imics: 1
|
209 |
+
n_layers: 6
|
210 |
+
lstm_hidden_units: 200
|
211 |
+
attn_n_head: 4
|
212 |
+
attn_qk_output_channel: 2
|
213 |
+
emb_dim: 48
|
214 |
+
emb_ks: 4
|
215 |
+
emb_hs: 1
|
216 |
+
activation: prelu
|
217 |
+
eps: 1.0e-05
|
218 |
+
decoder: stft
|
219 |
+
decoder_conf:
|
220 |
+
n_fft: 256
|
221 |
+
hop_length: 128
|
222 |
+
default_fs: 8000
|
223 |
+
mask_module: multi_mask
|
224 |
+
mask_module_conf: {}
|
225 |
+
preprocessor: enh
|
226 |
+
preprocessor_conf: {}
|
227 |
+
diffusion_model: null
|
228 |
+
diffusion_model_conf: {}
|
229 |
+
required:
|
230 |
+
- output_dir
|
231 |
+
version: '202402'
|
232 |
+
distributed: true
|
exp/enh_train_enh_tfgridnet_raw/images/backward_time.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/clip.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/forward_time.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/gpu_max_cached_mem_GB.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/grad_norm.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/iter_time.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_16000Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_22050Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_24000Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_32000Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_44100Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_48000Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/l1_timedomain+magspec_loss_1ch_8000Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/loss.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/loss_scale.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/optim0_lr0.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/optim_step_time.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_16000Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_22050Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_24000Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_32000Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_44100Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_48000Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/si_snr_loss_1ch_8000Hz.png
ADDED
exp/enh_train_enh_tfgridnet_raw/images/train_time.png
ADDED
exp/enh_train_enh_tfgridnet_raw/valid.loss.best.pth
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
21epoch.pth
|
meta.yaml
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
espnet: '202402'
|
2 |
+
files:
|
3 |
+
model_file: exp/enh_train_enh_tfgridnet_raw/21epoch.pth
|
4 |
+
python: "3.8.19 (default, Mar 20 2024, 19:58:24) \n[GCC 11.2.0]"
|
5 |
+
timestamp: 1719552816.976782
|
6 |
+
torch: 2.0.1
|
7 |
+
yaml_files:
|
8 |
+
train_config: exp/enh_train_enh_tfgridnet_raw/config.yaml
|