diff --git a/auglib/core/transform.py b/auglib/core/transform.py
index 808ca87..ac051bf 100644
--- a/auglib/core/transform.py
+++ b/auglib/core/transform.py
@@ -3261,16 +3261,16 @@ def _pink_noise(self, samples: int) -> np.ndarray:
         def psd(f):
             return 1 / np.where(f == 0, float("inf"), np.sqrt(f))
 
-        white_noise = np.fft.rfft(np.random.randn(samples))
+        white_noise = np.fft.rfft(np.random.randn(samples + 1))
 
         # Normalized pink noise shape
-        pink_shape = psd(np.fft.rfftfreq(samples))
+        pink_shape = psd(np.fft.rfftfreq(samples + 1))
         pink_shape = pink_shape / np.sqrt(np.mean(pink_shape**2))
 
         white_noise_shaped = white_noise * pink_shape
         pink_noise = np.fft.irfft(white_noise_shaped)
 
-        return np.atleast_2d(pink_noise)
+        return np.atleast_2d(pink_noise[:samples])
 
 
 class Prepend(Base):
diff --git a/tests/test_transform_pink_noise.py b/tests/test_transform_pink_noise.py
index 4a34ee3..7174d36 100644
--- a/tests/test_transform_pink_noise.py
+++ b/tests/test_transform_pink_noise.py
@@ -74,3 +74,16 @@ def test_pink_noise(duration, sampling_rate, gain_db, snr_db):
     assert noise.shape == expected_noise.shape
     assert noise.dtype == expected_noise.dtype
     np.testing.assert_almost_equal(noise, expected_noise)
+
+
+@pytest.mark.parametrize(
+    "signal",
+    [
+        # Failing signal size,
+        # https://github.com/audeering/auglib/issues/23
+        np.ones((1, 30045)),
+    ]
+)
+def test_pink_noise_issue23(signal):
+    transform = auglib.transform.PinkNoise()
+    transform(signal)