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TurnMaster_processing/augment_taskmaster.py

@@ -218,8 +218,9 @@ def parse_args():
     parser.add_argument("--VAD-energy-threshold", type=float, default=0.01, help="Energy threshold used by the energy based VAD for speech segmentation before silence insertion.")
     parser.add_argument("--VAD-min-silence-frames", type=int, default=3, help="Min silence frame used by the energy based VAD for speech segmentation before silence insertion.")
 
-    parser.add_argument("--taskmaster-root-dir", type=str, default="/opt/marcel-c3/workdir/clws3842/datasets/Taskmaster/original_clean", help="The root leading to the manifest.csv and the audios")
-    parser.add_argument("--aug-dataset-save-dir", type=str, required=True)
+    parser.add_argument("--taskmaster-root-dir", type=str, required=True, help="The root leading to the manifest.csv and the audios.")
+    parser.add_argument("--manifest-dir", type=str, required=True, help="The manifest to use to build the new TurnMaster version.")
+    parser.add_argument("--aug-dataset-save-dir", type=str, required=True, help="The directory to save the dataset version.")
     
     parser.add_argument("--add-white-noise", action="store_true", help="Required only if SNR args are provided.")
     parser.add_argument("--add-bg-noise", action="store_true", help="Required only if SNR args are provided.")
@@ -657,7 +658,7 @@ def main():
                 raise RuntimeError("No noise files found.")
 
         speech_files = []
-        manifest_dir = f'{args.taskmaster_root_dir}/manifest_filtered_1_18_02.csv'
+        manifest_dir = f'{args.manifest_dir}'
         speech_files = process_manifest(manifest_dir, args.taskmaster_root_dir, speech_files, args)
 
         rows = []