config

enhancer/cli/train_config/config.yaml

@@ -1,6 +1,6 @@
 defaults:
-  - model : WaveUnet
-  - dataset : Vctk
+  - model : Demucs
+  - dataset : DNS-2020
   - optimizer : Adam
   - hyperparameters : default
   - trainer : default

enhancer/cli/train_config/dataset/DNS-2020.yaml

@@ -1,5 +1,5 @@
 _target_: enhancer.data.dataset.EnhancerDataset
-root_dir : /scratch/c.sistc3/MS-SNSD/DNS30
+root_dir : /scratch/c.sistc3/MS-SNSD/DNS15
 name : dns-2020
 duration : 5.0
 stride : 1

enhancer/cli/train_config/hyperparameters/default.yaml

@@ -3,6 +3,6 @@ metric : [stoi,pesq,si-sdr]
 lr : 0.003
 ReduceLr_patience : 10
 Early_stop : False
-ReduceLr_factor : 0.1
+ReduceLr_factor : 0.5
 min_lr : 0.0000001
 EarlyStopping_patience : 10

enhancer/cli/train_config/trainer/default.yaml

@@ -25,7 +25,7 @@ limit_val_batches: 1.0
 log_every_n_steps: 50
 max_epochs: 200
 max_steps: -1
-max_time: null
+max_time: 00:47:00:00
 min_epochs: 1
 min_steps: null
 move_metrics_to_cpu: False

enhancer/data/dataset.py

@@ -133,7 +133,7 @@ class TaskDataset(pl.LightningDataModule):
             speaker_index = rng.choice(possible_indices)
             possible_indices.remove(speaker_index)
             speaker_name = all_speakers[speaker_index]
-            print(f"Selected f{speaker_name} for valid")
+            print(f"Selected {speaker_name} for valid")
             file_indices = [
                 i
                 for i, file in enumerate(data)