diff --git a/src/pyrecest/_backend/pytorch/signal.py b/src/pyrecest/_backend/pytorch/signal.py
index b5e07ff49..4d3aa5f77 100644
--- a/src/pyrecest/_backend/pytorch/signal.py
+++ b/src/pyrecest/_backend/pytorch/signal.py
@@ -9,9 +9,12 @@ def _coerce_axis(axis):
         axis_array = _np.asarray(axis)
     except (TypeError, ValueError) as exc:
         raise TypeError(_AXIS_TYPE_ERROR) from exc
-    if axis_array.shape != () or axis_array.dtype.kind not in "iu":
+    if axis_array.shape != ():
         raise TypeError(_AXIS_TYPE_ERROR)
-    return int(axis_array.item())
+    try:
+        return int(axis_array.item().__index__())
+    except AttributeError as exc:
+        raise TypeError(_AXIS_TYPE_ERROR) from exc
 
 
 def _is_scalar_axis_argument(value):
diff --git a/tests/backend_support/test_pytorch_fftconvolve_contract.py b/tests/backend_support/test_pytorch_fftconvolve_contract.py
index 4742ab8b1..23e3446e0 100644
--- a/tests/backend_support/test_pytorch_fftconvolve_contract.py
+++ b/tests/backend_support/test_pytorch_fftconvolve_contract.py
@@ -108,6 +108,21 @@ def test_pytorch_fftconvolve_scalar_empty_axes_matches_scipy():
     assert np.allclose(actual, expected)
 
 
+def test_pytorch_fftconvolve_boolean_axes_match_scipy():
+    if backend.__backend_name__ != "pytorch":
+        pytest.skip("PyTorch-specific signal backend contract")
+
+    first = backend.asarray([1.0, 2.0])
+    second = backend.asarray([3.0, 4.0])
+
+    actual = _as_numpy(backend.signal.fftconvolve(first, second, axes=False))
+    expected = scipy_fftconvolve(_as_numpy(first), _as_numpy(second), axes=False)
+
+    assert np.allclose(actual, expected)
+    with pytest.raises(ValueError, match="out of bounds"):
+        backend.signal.fftconvolve(first, second, axes=True)
+
+
 def test_pytorch_fft_helpers_accept_array_like_inputs():
     if backend.__backend_name__ != "pytorch":
         pytest.skip("PyTorch-specific FFT backend contract")