diff --git a/requirements.txt b/requirements.txt
index a5b291a9..6ca6002d 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -5,5 +5,5 @@ docopt==0.6.2
 praat-parselmouth==0.3.3
 numpy<1.19.0,>=1.16.0
 tensorflow==2.3.0
-spleeter==2.0
+spleeter==2.2.1
 parse==1.19.0
\ No newline at end of file
diff --git a/setup.py b/setup.py
index d5c6da4b..35a11870 100644
--- a/setup.py
+++ b/setup.py
@@ -19,7 +19,7 @@
     'mute': [
         'numpy<1.19.0,>=1.16.0',
         'tensorflow==2.3.0',
-        'spleeter>=2.0'
+        'spleeter==2.2.1'
     ]
 }
 
diff --git a/twitch_utils/mute.py b/twitch_utils/mute.py
index 9af09bb7..062e7c1d 100644
--- a/twitch_utils/mute.py
+++ b/twitch_utils/mute.py
@@ -1,4 +1,4 @@
-"""Usage: twitch_utils mute [options] <input> <range>... (-o <name>)
+"""Usage: twitch_utils mute [options] <input> <range>... -o <output>
 
 This script attempts to separate streamer's voice from background music by
 using Spleeter. Only specified time ranges are affected. Output contains the
@@ -24,7 +24,7 @@
 
 try:
     from spleeter.separator import Separator
-    from spleeter.audio.adapter import get_default_audio_adapter
+    from spleeter.audio.adapter import AudioAdapter
 except ImportError:
     print('Error: You need to install tdh-twitch-utils[mute] or '
           'tdh-twitch-utils[all] to use this feature.',
@@ -42,13 +42,13 @@ def ptime(t: str) -> float:
 
 def main(argv=None):
     args = docopt(__doc__, argv=argv)
-    
+
     fi = Clip(args['<input>'])
     fo = args['-o']
     ranges = list(tuple(ptime(t) for t in range.split('~'))
                   for range in args['<range>'])
 
-    loader = get_default_audio_adapter()
+    loader = AudioAdapter.default()
     sample_rate = 44100
     separator = Separator('spleeter:2stems')
 
@@ -59,7 +59,7 @@ def main(argv=None):
 
         options = ['-vn', '-r', str(sample_rate), '-f', 'wav']
         clip = fi.slice(start, end - start, output_options=options)[0]
-        
+
         for i in range(int(args['--pass'])):
             waveform, _ = loader.load(clip.path, sample_rate=sample_rate)
             prediction = separator.separate(waveform)
@@ -86,7 +86,7 @@ def main(argv=None):
     for i, (start, end) in enumerate(ranges):
         delay = int(start * 1000)
         filters += f';[{i+1}]'
-        filters += f'asetnsamples=8192'
+        filters += 'asetnsamples=8192'
         filters += f',adelay={delay}|{delay},apad[delay{i+1}]'
 
     # Mix muted original track and all processed segments
@@ -118,5 +118,6 @@ def main(argv=None):
             os.unlink(fo)
         raise Exception('ffmpeg exited with non-zero code')
 
+
 if __name__ == '__main__':
-    main()
\ No newline at end of file
+    main()