diff --git a/1.6 b/1.6
new file mode 100644
index 0000000..e69de29
diff --git a/setup.py b/setup.py
index 66095c5..6d42e15 100644
--- a/setup.py
+++ b/setup.py
@@ -8,11 +8,17 @@
 setup(
     name='torchcrepe',
     description='Pytorch implementation of CREPE pitch tracker',
-    version='0.0.22',
+    version='0.0.23',
     author='Max Morrison',
     author_email='maxrmorrison@gmail.com',
     url='https://github.com/maxrmorrison/torchcrepe',
-    install_requires=['librosa>=0.9.1', 'resampy', 'scipy', 'torch', 'tqdm'],
+    install_requires=[
+        'librosa>=0.9.1',
+        'resampy',
+        'scipy',
+        'torch',
+        'torchaudio',
+        'tqdm'],
     packages=['torchcrepe'],
     package_data={'torchcrepe': ['assets/*']},
     long_description=long_description,
diff --git a/torchcrepe/load.py b/torchcrepe/load.py
index 32573c3..8f6a0be 100644
--- a/torchcrepe/load.py
+++ b/torchcrepe/load.py
@@ -2,20 +2,15 @@
 
 import numpy as np
 import torch
-import torchcrepe
+import torchaudio
 from scipy.io import wavfile
 
+import torchcrepe
+
 
 def audio(filename):
     """Load audio from disk"""
-    sample_rate, audio = wavfile.read(filename)
-
-    # Convert to float32
-    if audio.dtype == np.int16:
-        audio = audio.astype(np.float32) / np.iinfo(np.int16).max
-
-    # PyTorch is not compatible with non-writeable arrays, so we make a copy
-    return torch.tensor(np.copy(audio))[None], sample_rate
+    return torchaudio.load(filename)
 
 
 def model(device, capacity='full'):