diff --git a/codes/data/audio/unsupervised_audio_dataset.py b/codes/data/audio/unsupervised_audio_dataset.py
index d764a83d..6ab7cf9c 100644
--- a/codes/data/audio/unsupervised_audio_dataset.py
+++ b/codes/data/audio/unsupervised_audio_dataset.py
@@ -136,12 +136,12 @@ class UnsupervisedAudioDataset(torch.utils.data.Dataset):
 if __name__ == '__main__':
     params = {
         'mode': 'unsupervised_audio',
-        'path': ['Z:\\split\\cleaned\\books0'],
+        'path': ['Z:\\split\\cleaned\\books0', 'Z:\\split\\cleaned\\books2'],
         'cache_path': 'E:\\audio\\remote-cache.pth',
         'sampling_rate': 22050,
         'pad_to_seconds': 5,
         'phase': 'train',
-        'n_workers': 0,
+        'n_workers': 4,
         'batch_size': 16,
         'extra_samples': 4,
     }
diff --git a/codes/scripts/audio/preparation/split_on_silence.py b/codes/scripts/audio/preparation/split_on_silence.py
index 38b7859a..7f057a24 100644
--- a/codes/scripts/audio/preparation/split_on_silence.py
+++ b/codes/scripts/audio/preparation/split_on_silence.py
@@ -19,7 +19,7 @@ def main():
     maximum_duration = 20
     files = find_audio_files(args.path, include_nonwav=True)
     for e, wav_file in enumerate(tqdm(files)):
-        #if e < 1326:
+        #if e < 1459:
         #    continue
         print(f"Processing {wav_file}..")
         outdir = os.path.join(args.out, f'{e}_{os.path.basename(wav_file[:-4])}').replace('.', '').strip()