w/o striding

enhancer/cli/train_config/config.yaml

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

enhancer/cli/train_config/dataset/Vctk.yaml

@@ -2,7 +2,6 @@ _target_: enhancer.data.dataset.EnhancerDataset
 name : vctk
 root_dir : /scratch/c.sistc3/DS_10283_2791
 duration : 4.5
-stride : 0.5
 sampling_rate: 16000
 batch_size: 128
 valid_minutes : 10

enhancer/data/dataset.py

@@ -251,7 +251,7 @@ class EnhancerDataset(TaskDataset):
         files: Files,
         valid_minutes=5.0,
         duration=1.0,
-        stride=0.5,
+        stride=None,
         sampling_rate=48000,
         matching_function=None,
         batch_size=32,
@@ -317,7 +317,7 @@ class EnhancerDataset(TaskDataset):
         return self.prepare_segment(*self._test[idx])
 
     def prepare_segment(self, file_dict: dict, start_time: float):
-        print(file_dict["clean"].split("/")[-1], "->", start_time)
+
         clean_segment = self.audio(
             file_dict["clean"], offset=start_time, duration=self.duration
         )