diff --git a/test/scripts/test_listen.py b/test/scripts/test_listen.py
new file mode 100644
index 00000000..93201111
--- /dev/null
+++ b/test/scripts/test_listen.py
@@ -0,0 +1,40 @@
+#!/usr/bin/env python3
+# Copyright 2019 Mycroft AI Inc.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from glob import glob
+from os.path import join
+
+import numpy as np
+from precise_runner import ReadWriteStream
+
+from precise.params import pr
+from precise.scripts.listen import ListenScript
+from precise.util import audio_to_buffer
+from test.scripts.test_utils.temp_folder import TempFolder
+
+
+class TestListen:
+    def test_listen(self, trained_model: str, temp_folder: TempFolder):
+        """Run the trained model on input"""
+        activations_folder = temp_folder.subdir('activations')
+        script = ListenScript.create(model=trained_model, save_dir=activations_folder)
+        script.runner.stream = stream = ReadWriteStream()
+
+        script.runner.start()
+        stream.write(audio_to_buffer(np.random.random(5 * pr.sample_rate) * 2 - 1))  # Write silence
+        stream.write(audio_to_buffer(np.ones(2 * pr.sample_rate, dtype=float) * 2 - 1))  # Write wake word
+        stream.write(audio_to_buffer(np.random.random(5 * pr.sample_rate) * 2 - 1))  # Write more silence
+        script.runner.stop()
+
+        assert len(glob(join(activations_folder, '*.wav'))) == 1