Update model

README.md

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+---
+tags:
+- espnet
+- audio
+- diarization
+language: noinfo
+datasets:
+- librimix
+license: cc-by-4.0
+---
+
+## ESPnet2 DIAR model 
+
+### `espnet/YushiUeda_librimix_diar_enh_2_3_spk`
+
+This model was trained by YushiUeda using librimix recipe in [espnet](https://github.com/espnet/espnet/).
+
+### Demo: How to use in ESPnet2
+
+```bash
+cd espnet
+git checkout 4f0f9a2435549211ef670354d09eb45883441b2d
+pip install -e .
+cd egs2/librimix/diar_enh1
+./run.sh --skip_data_prep false --skip_train true --download_model espnet/YushiUeda_librimix_diar_enh_2_3_spk
+```
+
+<!-- Generated by local/show_enh_score.sh -->
+# RESULTS
+## Environments
+- date: `Fri Mar 25 17:40:43 EDT 2022`
+- python version: `3.7.11 (default, Jul 27 2021, 14:32:16)  [GCC 7.5.0]`
+- espnet version: `espnet 0.10.7a1`
+- pytorch version: `pytorch 1.10.1+cu102`
+- Git hash: `4f0f9a2435549211ef670354d09eb45883441b2d`
+  - Commit date: `Tue Mar 15 10:52:24 2022 -0400`
+
+
+## ..
+
+config: conf/tuning/train_diar_enh_convtasnet_adapt.yaml
+
+|dataset|STOI|SAR|SDR|SIR|SI_SNR|DER|
+|---|---|---|---|---|---|---|
+|diarized_enhanced_test|0.7602|7.3687|5.9088|15.0722|4.3856|6.27|
+
+## DIAR config
+
+<details><summary>expand</summary>
+
+```
+config: conf/tuning/train_diar_enh_convtasnet_adapt.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: chunk
+output_dir: exp/diar_enh_train_diar_enh_convtasnet_adapt
+ngpu: 1
+seed: 0
+num_workers: 4
+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: 47601
+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: 50
+patience: 4
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - si_snr_loss
+    - min
+keep_nbest_models: 1
+nbest_averaging_interval: 0
+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_matplotlib: true
+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:
+- exp/diar_enh_train_diar_enh_convtasnet_2_raw/valid.si_snr_loss.best.pth
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 4
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/diar_enh_stats_8k/train/speech_mix_shape
+- exp/diar_enh_stats_8k/train/spk_labels_shape
+- exp/diar_enh_stats_8k/train/speech_ref1_shape
+- exp/diar_enh_stats_8k/train/speech_ref2_shape
+- exp/diar_enh_stats_8k/train/speech_ref3_shape
+- exp/diar_enh_stats_8k/train/noise_ref1_shape
+valid_shape_file:
+- exp/diar_enh_stats_8k/valid/speech_mix_shape
+- exp/diar_enh_stats_8k/valid/spk_labels_shape
+- exp/diar_enh_stats_8k/valid/speech_ref1_shape
+- exp/diar_enh_stats_8k/valid/speech_ref2_shape
+- exp/diar_enh_stats_8k/valid/speech_ref3_shape
+- exp/diar_enh_stats_8k/valid/noise_ref1_shape
+batch_type: folded
+valid_batch_type: null
+fold_length:
+- 800
+- 80000
+- 80000
+- 80000
+- 80000
+- 80000
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 24000
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech_mix
+    - sound
+-   - dump/raw/train/espnet_rttm
+    - spk_labels
+    - rttm
+-   - dump/raw/train/spk1.scp
+    - speech_ref1
+    - sound
+-   - dump/raw/train/spk2.scp
+    - speech_ref2
+    - sound
+-   - dump/raw/train/spk3.scp
+    - speech_ref3
+    - sound
+-   - dump/raw/train/noise1.scp
+    - noise_ref1
+    - sound
+valid_data_path_and_name_and_type:
+-   - dump/raw/dev/wav.scp
+    - speech_mix
+    - sound
+-   - dump/raw/dev/espnet_rttm
+    - spk_labels
+    - rttm
+-   - dump/raw/dev/spk1.scp
+    - speech_ref1
+    - sound
+-   - dump/raw/dev/spk2.scp
+    - speech_ref2
+    - sound
+-   - dump/raw/dev/spk3.scp
+    - speech_ref3
+    - sound
+-   - dump/raw/dev/noise1.scp
+    - noise_ref1
+    - sound
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0003
+    weight_decay: 0
+scheduler: reducelronplateau
+scheduler_conf:
+    mode: min
+    factor: 0.5
+    patience: 1
+num_spk: 3
+init: xavier_uniform
+model_conf:
+    loss_type: si_snr
+    diar_weight: 0.2
+    attractor_weight: 0.2
+use_preprocessor: true
+criterions:
+-   name: si_snr
+    conf:
+        eps: 1.0e-07
+    wrapper: pit2
+    wrapper_conf:
+        weight: 1.0
+        independent_perm: true
+frontend: null
+frontend_conf:
+    fs: 8k
+    hop_length: 64
+specaug: null
+specaug_conf: {}
+normalize: null
+normalize_conf: {}
+diar_encoder: transformer
+diar_encoder_conf:
+    input_size: 128
+    input_layer: conv2d8
+    num_blocks: 4
+    linear_units: 512
+    dropout_rate: 0.1
+    output_size: 256
+    attention_heads: 4
+    attention_dropout_rate: 0.1
+diar_decoder: linear
+diar_decoder_conf: {}
+label_aggregator: label_aggregator
+label_aggregator_conf:
+    win_length: 256
+    hop_length: 64
+attractor: rnn
+attractor_conf:
+    unit: 256
+    layer: 1
+    dropout: 0.1
+    attractor_grad: true
+enh_encoder: conv
+enh_encoder_conf:
+    channel: 512
+    kernel_size: 16
+    stride: 8
+separator: tcn
+separator_conf:
+    layer: 8
+    stack: 3
+    bottleneck_dim: 128
+    hidden_dim: 512
+    kernel: 3
+    causal: false
+    norm_type: gLN
+mask_module: mask
+mask_module_conf:
+    max_num_spk: 3
+    mask_nonlinear: relu
+    input_dim: 512
+    bottleneck_dim: 128
+enh_decoder: conv
+enh_decoder_conf:
+    channel: 512
+    kernel_size: 16
+    stride: 8
+required:
+- output_dir
+version: 0.10.7a1
+distributed: true
+```
+
+</details>
+
+
+
+### Citing ESPnet
+
+```BibTex
+@inproceedings{watanabe2018espnet,
+  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},
+  title={{ESPnet}: End-to-End Speech Processing Toolkit},
+  year={2018},
+  booktitle={Proceedings of Interspeech},
+  pages={2207--2211},
+  doi={10.21437/Interspeech.2018-1456},
+  url={http://dx.doi.org/10.21437/Interspeech.2018-1456}
+}
+
+
+
+
+```
+
+or arXiv:
+
+```bibtex
+@misc{watanabe2018espnet,
+  title={ESPnet: End-to-End Speech Processing Toolkit}, 
+  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},
+  year={2018},
+  eprint={1804.00015},
+  archivePrefix={arXiv},
+  primaryClass={cs.CL}
+}
+```

exp/diar_enh_train_diar_enh_convtasnet_adapt/27epoch.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:661fe7b1e7897dab4d193fa1de8c2aca9c7cc4fe9319c64e7592c3139dba8cc9
+size 36265509

exp/diar_enh_train_diar_enh_convtasnet_adapt/RESULTS.md

@@ -0,0 +1,19 @@
+<!-- Generated by local/show_enh_score.sh -->
+# RESULTS
+## Environments
+- date: `Fri Mar 25 17:40:43 EDT 2022`
+- python version: `3.7.11 (default, Jul 27 2021, 14:32:16)  [GCC 7.5.0]`
+- espnet version: `espnet 0.10.7a1`
+- pytorch version: `pytorch 1.10.1+cu102`
+- Git hash: `4f0f9a2435549211ef670354d09eb45883441b2d`
+  - Commit date: `Tue Mar 15 10:52:24 2022 -0400`
+
+
+## ..
+
+config: conf/tuning/train_diar_enh_convtasnet_adapt.yaml
+
+|dataset|STOI|SAR|SDR|SIR|SI_SNR|DER|
+|---|---|---|---|---|---|---|
+|diarized_enhanced_test|0.7602|7.3687|5.9088|15.0722|4.3856|6.27|
+

exp/diar_enh_train_diar_enh_convtasnet_adapt/config.yaml

@@ -0,0 +1,223 @@
+config: conf/tuning/train_diar_enh_convtasnet_adapt.yaml
+print_config: false
+log_level: INFO
+dry_run: false
+iterator_type: chunk
+output_dir: exp/diar_enh_train_diar_enh_convtasnet_adapt
+ngpu: 1
+seed: 0
+num_workers: 4
+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: 47601
+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: 50
+patience: 4
+val_scheduler_criterion:
+- valid
+- loss
+early_stopping_criterion:
+- valid
+- loss
+- min
+best_model_criterion:
+-   - valid
+    - si_snr_loss
+    - min
+keep_nbest_models: 1
+nbest_averaging_interval: 0
+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_matplotlib: true
+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:
+- exp/diar_enh_train_diar_enh_convtasnet_2_raw/valid.si_snr_loss.best.pth
+ignore_init_mismatch: false
+freeze_param: []
+num_iters_per_epoch: null
+batch_size: 4
+valid_batch_size: null
+batch_bins: 1000000
+valid_batch_bins: null
+train_shape_file:
+- exp/diar_enh_stats_8k/train/speech_mix_shape
+- exp/diar_enh_stats_8k/train/spk_labels_shape
+- exp/diar_enh_stats_8k/train/speech_ref1_shape
+- exp/diar_enh_stats_8k/train/speech_ref2_shape
+- exp/diar_enh_stats_8k/train/speech_ref3_shape
+- exp/diar_enh_stats_8k/train/noise_ref1_shape
+valid_shape_file:
+- exp/diar_enh_stats_8k/valid/speech_mix_shape
+- exp/diar_enh_stats_8k/valid/spk_labels_shape
+- exp/diar_enh_stats_8k/valid/speech_ref1_shape
+- exp/diar_enh_stats_8k/valid/speech_ref2_shape
+- exp/diar_enh_stats_8k/valid/speech_ref3_shape
+- exp/diar_enh_stats_8k/valid/noise_ref1_shape
+batch_type: folded
+valid_batch_type: null
+fold_length:
+- 800
+- 80000
+- 80000
+- 80000
+- 80000
+- 80000
+sort_in_batch: descending
+sort_batch: descending
+multiple_iterator: false
+chunk_length: 24000
+chunk_shift_ratio: 0.5
+num_cache_chunks: 1024
+train_data_path_and_name_and_type:
+-   - dump/raw/train/wav.scp
+    - speech_mix
+    - sound
+-   - dump/raw/train/espnet_rttm
+    - spk_labels
+    - rttm
+-   - dump/raw/train/spk1.scp
+    - speech_ref1
+    - sound
+-   - dump/raw/train/spk2.scp
+    - speech_ref2
+    - sound
+-   - dump/raw/train/spk3.scp
+    - speech_ref3
+    - sound
+-   - dump/raw/train/noise1.scp
+    - noise_ref1
+    - sound
+valid_data_path_and_name_and_type:
+-   - dump/raw/dev/wav.scp
+    - speech_mix
+    - sound
+-   - dump/raw/dev/espnet_rttm
+    - spk_labels
+    - rttm
+-   - dump/raw/dev/spk1.scp
+    - speech_ref1
+    - sound
+-   - dump/raw/dev/spk2.scp
+    - speech_ref2
+    - sound
+-   - dump/raw/dev/spk3.scp
+    - speech_ref3
+    - sound
+-   - dump/raw/dev/noise1.scp
+    - noise_ref1
+    - sound
+allow_variable_data_keys: false
+max_cache_size: 0.0
+max_cache_fd: 32
+valid_max_cache_size: null
+optim: adam
+optim_conf:
+    lr: 0.0003
+    weight_decay: 0
+scheduler: reducelronplateau
+scheduler_conf:
+    mode: min
+    factor: 0.5
+    patience: 1
+num_spk: 3
+init: xavier_uniform
+model_conf:
+    loss_type: si_snr
+    diar_weight: 0.2
+    attractor_weight: 0.2
+use_preprocessor: true
+criterions:
+-   name: si_snr
+    conf:
+        eps: 1.0e-07
+    wrapper: pit2
+    wrapper_conf:
+        weight: 1.0
+        independent_perm: true
+frontend: null
+frontend_conf:
+    fs: 8k
+    hop_length: 64
+specaug: null
+specaug_conf: {}
+normalize: null
+normalize_conf: {}
+diar_encoder: transformer
+diar_encoder_conf:
+    input_size: 128
+    input_layer: conv2d8
+    num_blocks: 4
+    linear_units: 512
+    dropout_rate: 0.1
+    output_size: 256
+    attention_heads: 4
+    attention_dropout_rate: 0.1
+diar_decoder: linear
+diar_decoder_conf: {}
+label_aggregator: label_aggregator
+label_aggregator_conf:
+    win_length: 256
+    hop_length: 64
+attractor: rnn
+attractor_conf:
+    unit: 256
+    layer: 1
+    dropout: 0.1
+    attractor_grad: true
+enh_encoder: conv
+enh_encoder_conf:
+    channel: 512
+    kernel_size: 16
+    stride: 8
+separator: tcn
+separator_conf:
+    layer: 8
+    stack: 3
+    bottleneck_dim: 128
+    hidden_dim: 512
+    kernel: 3
+    causal: false
+    norm_type: gLN
+mask_module: mask
+mask_module_conf:
+    max_num_spk: 3
+    mask_nonlinear: relu
+    input_dim: 512
+    bottleneck_dim: 128
+enh_decoder: conv
+enh_decoder_conf:
+    channel: 512
+    kernel_size: 16
+    stride: 8
+required:
+- output_dir
+version: 0.10.7a1
+distributed: true

meta.yaml

@@ -0,0 +1,8 @@
+espnet: 0.10.7a1
+files:
+  model_file: exp/diar_enh_train_diar_enh_convtasnet_adapt/27epoch.pth
+python: "3.7.11 (default, Jul 27 2021, 14:32:16) \n[GCC 7.5.0]"
+timestamp: 1650047110.334787
+torch: 1.10.1+cu102
+yaml_files:
+  train_config: exp/diar_enh_train_diar_enh_convtasnet_adapt/config.yaml