diff --git a/tests/test_colored_noise.py b/tests/test_colored_noise.py
index ec03f0ab..435e2886 100644
--- a/tests/test_colored_noise.py
+++ b/tests/test_colored_noise.py
@@ -69,6 +69,15 @@ def test_colored_noise_guaranteed_with_single_tensor(self):
         self.assertEqual(mixed_input.size(0), self.input_audio.size(0))
         self.assertEqual(mixed_input.size(1), self.input_audio.size(1))
 
+    def test_colored_noise_guaranteed_with_single_tensor_edgecase_sample_rate(self):
+        signal = torch.zeros(1, 1, 16001)
+        mixed_input = self.cl_noise_transform_guaranteed(
+            signal, 16001
+        ).samples
+        self.assertFalse(torch.equal(mixed_input, self.input_audio))
+        self.assertEqual(mixed_input.size(0), self.input_audio.size(0))
+        self.assertEqual(mixed_input.size(1), self.input_audio.size(1))
+
     def test_colored_noise_guaranteed_with_batched_tensor(self):
         random.seed(42)
         mixed_inputs = self.cl_noise_transform_guaranteed(
diff --git a/torch_audiomentations/augmentations/colored_noise.py b/torch_audiomentations/augmentations/colored_noise.py
index 9bbd2dc9..821147f7 100644
--- a/torch_audiomentations/augmentations/colored_noise.py
+++ b/torch_audiomentations/augmentations/colored_noise.py
@@ -27,7 +27,7 @@ def _gen_noise(f_decay, num_samples, sample_rate, device):
     )
     spec *= mask
     noise = Audio.rms_normalize(irfft(spec).unsqueeze(0)).squeeze()
-    noise = torch.cat([noise] * int(ceil(num_samples / sample_rate)))
+    noise = torch.cat([noise] * int(ceil(num_samples / noise.shape[0])))
     return noise[:num_samples]