soumi-maiti
commited on
Commit
•
df94b2b
1
Parent(s):
cc96e65
Update model
Browse files
README.md
CHANGED
@@ -35,23 +35,23 @@ cd egs2/librimix/enh_diar1
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<details><summary>expand</summary>
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```
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-
config: conf/tuning/
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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: chunk
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-
output_dir: exp/
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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:
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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:
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dist_launcher: null
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multiprocessing_distributed: true
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unused_parameters: false
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@@ -62,7 +62,7 @@ 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:
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val_scheduler_criterion:
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- valid
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- loss
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@@ -79,7 +79,7 @@ nbest_averaging_interval: 0
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grad_clip: 5.0
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grad_clip_type: 2.0
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grad_noise: false
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-
accum_grad:
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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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@@ -99,7 +99,7 @@ init_param: []
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ignore_init_mismatch: false
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freeze_param: []
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num_iters_per_epoch: null
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-
batch_size:
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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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@@ -174,7 +174,7 @@ scheduler: reducelronplateau
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scheduler_conf:
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mode: min
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factor: 0.5
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-
patience:
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token_list: null
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src_token_list: null
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init: xavier_uniform
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@@ -253,7 +253,7 @@ enh_mask_module_conf:
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max_num_spk: 3
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mask_nonlinear: relu
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bottleneck_dim: 128
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-
frontend:
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frontend_conf: {}
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specaug: null
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specaug_conf: {}
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@@ -279,10 +279,8 @@ st_extra_asr_decoder: rnn
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st_extra_asr_decoder_conf: {}
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st_extra_mt_decoder: rnn
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st_extra_mt_decoder_conf: {}
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-
diar_frontend:
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-
diar_frontend_conf:
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-
hop_length: 64
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fs: 8000
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diar_specaug: null
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diar_specaug_conf: {}
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diar_normalize: utterance_mvn
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<details><summary>expand</summary>
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```
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+
config: conf/tuning/train_diar_enh_convtasnet_2.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: chunk
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+
output_dir: exp/diar_enh_train_diar_enh_convtasnet_2_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: 55259
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dist_launcher: null
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multiprocessing_distributed: true
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unused_parameters: false
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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: 4
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val_scheduler_criterion:
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- valid
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- loss
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grad_clip: 5.0
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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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ignore_init_mismatch: false
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freeze_param: []
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num_iters_per_epoch: null
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+
batch_size: 16
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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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scheduler_conf:
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mode: min
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factor: 0.5
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patience: 1
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token_list: null
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src_token_list: null
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init: xavier_uniform
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max_num_spk: 3
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mask_nonlinear: relu
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bottleneck_dim: 128
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frontend: null
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frontend_conf: {}
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specaug: null
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specaug_conf: {}
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st_extra_asr_decoder_conf: {}
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st_extra_mt_decoder: rnn
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st_extra_mt_decoder_conf: {}
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diar_frontend: null
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diar_frontend_conf: {}
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diar_specaug: null
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diar_specaug_conf: {}
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diar_normalize: utterance_mvn
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exp/diar_enh_train_diar_enh_convtasnet_2_raw/62epoch.pth
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:941381356eb87a76ba1870bf347937653638947289f275c9d321a1cdcc17d66a
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size 36279117
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exp/diar_enh_train_diar_enh_convtasnet_2_raw/DIAR_RESULTS.md
ADDED
@@ -0,0 +1,15 @@
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<!-- Generated by scripts/utils/show_diar_result.sh -->
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# RESULTS
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## Environments
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- date: `Thu Sep 1 06:43:21 EDT 2022`
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- python version: `3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]`
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- espnet version: `espnet 202205`
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- pytorch version: `pytorch 1.8.1+cu102`
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- Git hash: `d837c97c88f13ffe655a30bcff93d814f212b225`
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- Commit date: `Wed Jun 29 12:04:57 2022 -0700`
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## diar_enh_train_diar_enh_convtasnet_2_raw
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### DER
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diarized_enhanced_test_wo_diar
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|threshold_median_collar|DER|
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|---|---|
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exp/diar_enh_train_diar_enh_convtasnet_2_raw/ENH_RESULTS.md
ADDED
@@ -0,0 +1,21 @@
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<!-- Generated by scripts/utils/show_enh_score.sh -->
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# RESULTS
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## Environments
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- date: `Thu Sep 1 06:48:15 EDT 2022`
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- python version: `3.9.7 (default, Sep 16 2021, 13:09:58) [GCC 7.5.0]`
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- espnet version: `espnet 202205`
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- pytorch version: `pytorch 1.8.1+cu102`
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- Git hash: `d837c97c88f13ffe655a30bcff93d814f212b225`
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- Commit date: `Wed Jun 29 12:04:57 2022 -0700`
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## diar_enh_train_diar_enh_convtasnet_2_raw
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config: conf/tuning/train_diar_enh_convtasnet_2.yaml
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|dataset|STOI|SAR|SDR|SIR|SI_SNR|
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|---|---|---|---|---|---|
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|diarized_enhanced_test_decode_diar_enh|83.8701|10.5786|10.0060|21.5454|9.2157|
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|diarized_enhanced_test_decode_diar_enh2|83.8847|10.5814|10.0024|21.5087|9.2171|
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+
|diarized_enhanced_test_wo_diar|83.8789|10.5800|9.9919|21.3513|9.2125|
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+
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exp/diar_enh_train_diar_enh_convtasnet_2_raw/config.yaml
ADDED
@@ -0,0 +1,275 @@
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+
config: conf/tuning/train_diar_enh_convtasnet_2.yaml
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print_config: false
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log_level: INFO
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4 |
+
dry_run: false
|
5 |
+
iterator_type: chunk
|
6 |
+
output_dir: exp/diar_enh_train_diar_enh_convtasnet_2_raw
|
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ngpu: 1
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seed: 0
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9 |
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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
|
15 |
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local_rank: 0
|
16 |
+
dist_master_addr: localhost
|
17 |
+
dist_master_port: 55259
|
18 |
+
dist_launcher: null
|
19 |
+
multiprocessing_distributed: true
|
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+
unused_parameters: false
|
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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: 4
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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_enh
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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: 5.0
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43 |
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grad_clip_type: 2.0
|
44 |
+
grad_noise: false
|
45 |
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accum_grad: 1
|
46 |
+
no_forward_run: false
|
47 |
+
resume: true
|
48 |
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train_dtype: float32
|
49 |
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use_amp: false
|
50 |
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log_interval: null
|
51 |
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use_matplotlib: true
|
52 |
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use_tensorboard: true
|
53 |
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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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ignore_init_mismatch: false
|
63 |
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freeze_param: []
|
64 |
+
num_iters_per_epoch: null
|
65 |
+
batch_size: 16
|
66 |
+
valid_batch_size: null
|
67 |
+
batch_bins: 1000000
|
68 |
+
valid_batch_bins: null
|
69 |
+
train_shape_file:
|
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+
- exp/diar_enh_stats_8k/train/speech_shape
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- exp/diar_enh_stats_8k/train/text_shape
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- exp/diar_enh_stats_8k/train/speech_ref1_shape
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73 |
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- exp/diar_enh_stats_8k/train/speech_ref2_shape
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- exp/diar_enh_stats_8k/train/noise_ref1_shape
|
75 |
+
valid_shape_file:
|
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- exp/diar_enh_stats_8k/valid/speech_shape
|
77 |
+
- exp/diar_enh_stats_8k/valid/text_shape
|
78 |
+
- exp/diar_enh_stats_8k/valid/speech_ref1_shape
|
79 |
+
- exp/diar_enh_stats_8k/valid/speech_ref2_shape
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80 |
+
- exp/diar_enh_stats_8k/valid/noise_ref1_shape
|
81 |
+
batch_type: folded
|
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valid_batch_type: null
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fold_length:
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- 800
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- 80000
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- 80000
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- 80000
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- 80000
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sort_in_batch: descending
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sort_batch: descending
|
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multiple_iterator: false
|
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chunk_length: 24000
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chunk_shift_ratio: 0.5
|
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+
num_cache_chunks: 1024
|
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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
|
98 |
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- sound
|
99 |
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- - dump/raw/train/espnet_rttm
|
100 |
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- text
|
101 |
+
- rttm
|
102 |
+
- - dump/raw/train/spk1.scp
|
103 |
+
- speech_ref1
|
104 |
+
- sound
|
105 |
+
- - dump/raw/train/spk2.scp
|
106 |
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- speech_ref2
|
107 |
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- sound
|
108 |
+
- - dump/raw/train/noise1.scp
|
109 |
+
- noise_ref1
|
110 |
+
- sound
|
111 |
+
valid_data_path_and_name_and_type:
|
112 |
+
- - dump/raw/dev/wav.scp
|
113 |
+
- speech
|
114 |
+
- sound
|
115 |
+
- - dump/raw/dev/espnet_rttm
|
116 |
+
- text
|
117 |
+
- rttm
|
118 |
+
- - dump/raw/dev/spk1.scp
|
119 |
+
- speech_ref1
|
120 |
+
- sound
|
121 |
+
- - dump/raw/dev/spk2.scp
|
122 |
+
- speech_ref2
|
123 |
+
- sound
|
124 |
+
- - dump/raw/dev/noise1.scp
|
125 |
+
- noise_ref1
|
126 |
+
- sound
|
127 |
+
allow_variable_data_keys: false
|
128 |
+
max_cache_size: 0.0
|
129 |
+
max_cache_fd: 32
|
130 |
+
valid_max_cache_size: null
|
131 |
+
optim: adam
|
132 |
+
optim_conf:
|
133 |
+
lr: 0.001
|
134 |
+
eps: 1.0e-07
|
135 |
+
weight_decay: 0
|
136 |
+
scheduler: reducelronplateau
|
137 |
+
scheduler_conf:
|
138 |
+
mode: min
|
139 |
+
factor: 0.5
|
140 |
+
patience: 1
|
141 |
+
token_list: null
|
142 |
+
src_token_list: null
|
143 |
+
init: xavier_uniform
|
144 |
+
input_size: null
|
145 |
+
ctc_conf:
|
146 |
+
dropout_rate: 0.0
|
147 |
+
ctc_type: builtin
|
148 |
+
reduce: true
|
149 |
+
ignore_nan_grad: null
|
150 |
+
zero_infinity: true
|
151 |
+
enh_criterions:
|
152 |
+
- name: si_snr
|
153 |
+
conf:
|
154 |
+
eps: 1.0e-07
|
155 |
+
wrapper: pit
|
156 |
+
wrapper_conf:
|
157 |
+
weight: 1.0
|
158 |
+
independent_perm: true
|
159 |
+
diar_num_spk: 2
|
160 |
+
diar_input_size: 128
|
161 |
+
enh_model_conf:
|
162 |
+
loss_type: si_snr
|
163 |
+
asr_model_conf:
|
164 |
+
ctc_weight: 0.5
|
165 |
+
interctc_weight: 0.0
|
166 |
+
ignore_id: -1
|
167 |
+
lsm_weight: 0.0
|
168 |
+
length_normalized_loss: false
|
169 |
+
report_cer: true
|
170 |
+
report_wer: true
|
171 |
+
sym_space: <space>
|
172 |
+
sym_blank: <blank>
|
173 |
+
extract_feats_in_collect_stats: true
|
174 |
+
st_model_conf:
|
175 |
+
stft_consistency: false
|
176 |
+
loss_type: mask_mse
|
177 |
+
mask_type: null
|
178 |
+
diar_model_conf:
|
179 |
+
diar_weight: 0.2
|
180 |
+
attractor_weight: 0.2
|
181 |
+
subtask_series:
|
182 |
+
- enh
|
183 |
+
- diar
|
184 |
+
model_conf:
|
185 |
+
calc_enh_loss: true
|
186 |
+
bypass_enh_prob: 0
|
187 |
+
use_preprocessor: true
|
188 |
+
token_type: bpe
|
189 |
+
bpemodel: null
|
190 |
+
src_token_type: bpe
|
191 |
+
src_bpemodel: null
|
192 |
+
non_linguistic_symbols: null
|
193 |
+
cleaner: null
|
194 |
+
g2p: null
|
195 |
+
enh_encoder: conv
|
196 |
+
enh_encoder_conf:
|
197 |
+
channel: 512
|
198 |
+
kernel_size: 16
|
199 |
+
stride: 8
|
200 |
+
enh_separator: tcn_nomask
|
201 |
+
enh_separator_conf:
|
202 |
+
layer: 8
|
203 |
+
stack: 3
|
204 |
+
bottleneck_dim: 128
|
205 |
+
hidden_dim: 512
|
206 |
+
kernel: 3
|
207 |
+
causal: false
|
208 |
+
norm_type: gLN
|
209 |
+
enh_decoder: conv
|
210 |
+
enh_decoder_conf:
|
211 |
+
channel: 512
|
212 |
+
kernel_size: 16
|
213 |
+
stride: 8
|
214 |
+
enh_mask_module: multi_mask
|
215 |
+
enh_mask_module_conf:
|
216 |
+
max_num_spk: 3
|
217 |
+
mask_nonlinear: relu
|
218 |
+
bottleneck_dim: 128
|
219 |
+
frontend: null
|
220 |
+
frontend_conf: {}
|
221 |
+
specaug: null
|
222 |
+
specaug_conf: {}
|
223 |
+
normalize: utterance_mvn
|
224 |
+
normalize_conf: {}
|
225 |
+
asr_preencoder: null
|
226 |
+
asr_preencoder_conf: {}
|
227 |
+
asr_encoder: rnn
|
228 |
+
asr_encoder_conf: {}
|
229 |
+
asr_postencoder: null
|
230 |
+
asr_postencoder_conf: {}
|
231 |
+
asr_decoder: rnn
|
232 |
+
asr_decoder_conf: {}
|
233 |
+
st_preencoder: null
|
234 |
+
st_preencoder_conf: {}
|
235 |
+
st_encoder: rnn
|
236 |
+
st_encoder_conf: {}
|
237 |
+
st_postencoder: null
|
238 |
+
st_postencoder_conf: {}
|
239 |
+
st_decoder: rnn
|
240 |
+
st_decoder_conf: {}
|
241 |
+
st_extra_asr_decoder: rnn
|
242 |
+
st_extra_asr_decoder_conf: {}
|
243 |
+
st_extra_mt_decoder: rnn
|
244 |
+
st_extra_mt_decoder_conf: {}
|
245 |
+
diar_frontend: null
|
246 |
+
diar_frontend_conf: {}
|
247 |
+
diar_specaug: null
|
248 |
+
diar_specaug_conf: {}
|
249 |
+
diar_normalize: utterance_mvn
|
250 |
+
diar_normalize_conf: {}
|
251 |
+
diar_encoder: transformer
|
252 |
+
diar_encoder_conf:
|
253 |
+
input_layer: conv2d8
|
254 |
+
num_blocks: 4
|
255 |
+
linear_units: 512
|
256 |
+
dropout_rate: 0.1
|
257 |
+
output_size: 256
|
258 |
+
attention_heads: 4
|
259 |
+
attention_dropout_rate: 0.1
|
260 |
+
diar_decoder: linear
|
261 |
+
diar_decoder_conf: {}
|
262 |
+
label_aggregator: label_aggregator
|
263 |
+
label_aggregator_conf:
|
264 |
+
win_length: 256
|
265 |
+
hop_length: 64
|
266 |
+
diar_attractor: rnn
|
267 |
+
diar_attractor_conf:
|
268 |
+
unit: 256
|
269 |
+
layer: 1
|
270 |
+
dropout: 0.0
|
271 |
+
attractor_grad: true
|
272 |
+
required:
|
273 |
+
- output_dir
|
274 |
+
version: '202205'
|
275 |
+
distributed: true
|
meta.yaml
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
espnet: '202205'
|
2 |
files:
|
3 |
-
model_file: exp/
|
4 |
python: "3.9.7 (default, Sep 16 2021, 13:09:58) \n[GCC 7.5.0]"
|
5 |
-
timestamp:
|
6 |
torch: 1.8.1+cu102
|
7 |
yaml_files:
|
8 |
-
train_config: exp/
|
|
|
1 |
espnet: '202205'
|
2 |
files:
|
3 |
+
model_file: exp/diar_enh_train_diar_enh_convtasnet_2_raw/62epoch.pth
|
4 |
python: "3.9.7 (default, Sep 16 2021, 13:09:58) \n[GCC 7.5.0]"
|
5 |
+
timestamp: 1676313901.897267
|
6 |
torch: 1.8.1+cu102
|
7 |
yaml_files:
|
8 |
+
train_config: exp/diar_enh_train_diar_enh_convtasnet_2_raw/config.yaml
|