diff --git a/codes/data/util.py b/codes/data/util.py
index 529cba29..a73eecb6 100644
--- a/codes/data/util.py
+++ b/codes/data/util.py
@@ -45,7 +45,7 @@ def is_wav_file(filename):
 
 
 def is_audio_file(filename):
-    AUDIO_EXTENSIONS = ['.wav', '.mp3', '.wma', '.m4b', '.flac']
+    AUDIO_EXTENSIONS = ['.wav', '.mp3', '.wma', '.m4b', '.flac', '.aac']
     return any(filename.endswith(extension) for extension in AUDIO_EXTENSIONS)
 
 
diff --git a/codes/scripts/audio/prep_music/phase_1_split_files.py b/codes/scripts/audio/prep_music/phase_1_split_files.py
index fe7f1d25..e24195c3 100644
--- a/codes/scripts/audio/prep_music/phase_1_split_files.py
+++ b/codes/scripts/audio/prep_music/phase_1_split_files.py
@@ -23,6 +23,11 @@ def report_progress(progress_file, file):
 
 
 def process_file(file, base_path, output_path, progress_file, duration_per_clip, sampling_rate=22050):
+    lp = os.path.basename(file).lower()
+    if ' live' in lp or 'concert' in lp:
+        print(f"Skipping file {file} because likely a live performance")
+        report_progress(progress_file, file)
+        return
     try:
         audio = load_audio(file, sampling_rate)
     except:
@@ -42,9 +47,9 @@ def process_file(file, base_path, output_path, progress_file, duration_per_clip,
 
 if __name__ == '__main__':
     parser = argparse.ArgumentParser()
-    parser.add_argument('-path', type=str, help='Path to search for files', default='Y:\\sources\\manual_podcasts_music')
-    parser.add_argument('-progress_file', type=str, help='Place to store all files that have already been processed', default='Y:\\sources\\manual_podcasts_music\\already_processed.txt')
-    parser.add_argument('-output_path', type=str, help='Path for output files', default='Y:\\split\\manual_podcasts_music')
+    parser.add_argument('-path', type=str, help='Path to search for files', default='C:\\Users\\James\\Downloads\\soundcloud-dl\\sc2')
+    parser.add_argument('-progress_file', type=str, help='Place to store all files that have already been processed', default='C:\\Users\\James\\Downloads\\soundcloud-dl\\sc2\\already_processed.txt')
+    parser.add_argument('-output_path', type=str, help='Path for output files', default='Y:\\split\\soundcloud_mixes\\bigmix1')
     parser.add_argument('-num_threads', type=int, help='Number of concurrent workers processing files.', default=4)
     parser.add_argument('-duration', type=int, help='Duration per clip in seconds', default=30)
     args = parser.parse_args()
diff --git a/codes/utils/util.py b/codes/utils/util.py
index b3e52397..d2077701 100644
--- a/codes/utils/util.py
+++ b/codes/utils/util.py
@@ -574,6 +574,16 @@ def load_audio(audiopath, sampling_rate, raw_data=None):
             import soundfile as sf
             audio, lsr = sf.read(audiopath)
             audio = torch.FloatTensor(audio)
+        elif audiopath[-4:] == '.aac':
+            # Process AAC files using pydub. I'd use this for everything except I'm cornered into backwards compatibility.
+            from pydub import AudioSegment
+            asg = AudioSegment.from_file(audiopath)
+            dtype = getattr(np, "int{:d}".format(asg.sample_width * 8))
+            arr = np.ndarray((int(asg.frame_count()), asg.channels), buffer=asg.raw_data, dtype=dtype)
+            arr = arr.astype('float') / (2 ** (asg.sample_width * 8 - 1))
+            arr = arr[:,0]
+            audio = torch.FloatTensor(arr)
+            lsr = asg.frame_rate
         else:
             audio, lsr = open_audio(audiopath)
             audio = torch.FloatTensor(audio)