diff --git a/selfdrive/ui/soundd/sound.cc b/selfdrive/ui/soundd/sound.cc
index ee526c92ee..f039511ff8 100644
--- a/selfdrive/ui/soundd/sound.cc
+++ b/selfdrive/ui/soundd/sound.cc
@@ -48,7 +48,7 @@ void Sound::update() {
 
   // scale volume with speed
   if (sm.updated("microphone")) {
-    float volume = util::map_val(sm["microphone"].getMicrophone().getFilteredSoundPressureWeightedDb(), 34.f, 56.f, 0.f, 1.f);
+    float volume = util::map_val(sm["microphone"].getMicrophone().getFilteredSoundPressureWeightedDb(), 30.f, 52.f, 0.f, 1.f);
     volume = QAudio::convertVolume(volume, QAudio::LogarithmicVolumeScale, QAudio::LinearVolumeScale);
     Hardware::set_volume(volume);
   }
diff --git a/system/micd.py b/system/micd.py
index 5a16392d89..57700e5927 100755
--- a/system/micd.py
+++ b/system/micd.py
@@ -25,8 +25,11 @@ def calculate_spl(measurements):
 
 
 def apply_a_weighting(measurements: np.ndarray) -> np.ndarray:
+  # Generate a Hanning window of the same length as the audio measurements
+  measurements_windowed = measurements * np.hanning(len(measurements))
+
   # Calculate the frequency axis for the signal
-  freqs = np.fft.fftfreq(measurements.size, d=1 / SAMPLE_RATE)
+  freqs = np.fft.fftfreq(measurements_windowed.size, d=1 / SAMPLE_RATE)
 
   # Calculate the A-weighting filter
   # https://en.wikipedia.org/wiki/A-weighting
@@ -34,7 +37,7 @@ def apply_a_weighting(measurements: np.ndarray) -> np.ndarray:
   A /= np.max(A)  # Normalize the filter
 
   # Apply the A-weighting filter to the signal
-  return np.abs(np.fft.ifft(np.fft.fft(measurements) * A))
+  return np.abs(np.fft.ifft(np.fft.fft(measurements_windowed) * A))
 
 
 class Mic: