dataset

enhancer/data/dataset.py

@@ -0,0 +1,34 @@
+import os
+import pytorch_lightning as pl
+from typing import Optional
+
+from enhancer.data.vctk import Vctk
+from enhancer.utils.config import Files
+
+DATASETS = ["Vctk"]
+
+class Dataset(pl.LightningDataModule):
+
+    def __init__(self,name:str, directory:str, files:Files, 
+                    duration:float=1.0, sampling_rate:int=48000):
+        super().__init__()
+
+        self.train_clean = os.path.join(directory,Files.train_clean)
+        self.train_noisy = os.path.join(directory,Files.train_noisy)
+        self.valid_clean = os.path.join(directory,Files.test_clean)
+        self.valid_noisy = os.path.join(directory,Files.test_noisy)
+
+        if name.title() in DATASETS:
+            self.data_obj = eval(name.title)
+
+        self.duration = duration
+        self.sampling_rate = sampling_rate
+
+    def setup(self, stage: Optional[str] = None):
+        self.train_dataset = self.data_obj()
+
+    def train_loader(self):
+        pass
+
+    def valid_loader(self):
+        pass

enhancer/data/vctk.py

@@ -12,22 +12,6 @@ from enhancer.utils.io import Audio
 
 
 
-class VctkDataset:
-
-    def __init__(self):
-        pass
-
-    def train_loader(self):
-        pass
-
-    def valid_loader(self):
-        pass
-
-    def test_loader(self):
-        pass
-
-
-
 class Vctk(IterableDataset):
     """Dataset object for Voice Bank Corpus (VCTK) Dataset"""