diff --git a/src/torchaudio/functional/functional.py b/src/torchaudio/functional/functional.py
index af34e707e5..a6bf6cafb3 100644
--- a/src/torchaudio/functional/functional.py
+++ b/src/torchaudio/functional/functional.py
@@ -230,14 +230,14 @@ def inverse_spectrogram(
 
 def _get_spec_norms(normalized: Union[str, bool]):
     frame_length_norm, window_norm = False, False
-    if torch.jit.isinstance(normalized, str):
+    if isinstance(normalized, str):
         if normalized not in ["frame_length", "window"]:
             raise ValueError("Invalid normalized parameter: {}".format(normalized))
         if normalized == "frame_length":
             frame_length_norm = True
         elif normalized == "window":
             window_norm = True
-    elif torch.jit.isinstance(normalized, bool):
+    elif isinstance(normalized, bool):
         if normalized:
             window_norm = True
     else:
diff --git a/test/torchaudio_unittest/transforms/transforms_test.py b/test/torchaudio_unittest/transforms/transforms_test.py
index 0a6e81b440..b6fba9dd5b 100644
--- a/test/torchaudio_unittest/transforms/transforms_test.py
+++ b/test/torchaudio_unittest/transforms/transforms_test.py
@@ -281,6 +281,10 @@ def test_compute_deltas_twochannel(self):
         assert computed.shape == expected.shape, (computed.shape, expected.shape)
         self.assertEqual(computed, expected, atol=1e-6, rtol=1e-8)
 
+    def test_mfcc_compile_fullgraph(self):
+        # test that MFCC does not use language features not supported by torch.compile
+        torch.compile(MFCC(), fullgraph=True)
+
 
 class SmokeTest(common_utils.TorchaudioTestCase):
     def test_spectrogram(self):