diff --git a/codes/data/audio/wavfile_dataset.py b/codes/data/audio/wavfile_dataset.py
index 17abe266..1c7e8199 100644
--- a/codes/data/audio/wavfile_dataset.py
+++ b/codes/data/audio/wavfile_dataset.py
@@ -33,7 +33,7 @@ class WavfileDataset(torch.utils.data.Dataset):
         self.pad_to = opt_get(opt, ['pad_to_seconds'], None)
         if self.pad_to is not None:
             self.pad_to *= self.sampling_rate
-        self.min_sz = opt_get(opt, ['minimum_samples'], 0)
+        self.pad_to = opt_get(opt, ['pad_to_samples'], self.pad_to)
 
         self.augment = opt_get(opt, ['do_augmentation'], False)
         if self.augment:
@@ -88,8 +88,9 @@ class WavfileDataset(torch.utils.data.Dataset):
             if audio_norm.shape[-1] <= self.pad_to:
                 audio_norm = torch.nn.functional.pad(audio_norm, (0, self.pad_to - audio_norm.shape[-1]))
             else:
-                #print(f"Warning! Truncating clip {filename} from {audio_norm.shape[-1]} to {self.pad_to}")
-                audio_norm = audio_norm[:, :self.pad_to]
+                gap = audio_norm.shape[-1] - self.pad_to
+                start = random.randint(0, gap-1)
+                audio_norm = audio_norm[:, start:start+self.pad_to]
 
         # Bail and try the next clip if there is not enough data.
         if audio_norm.shape[-1] < self.min_sz: