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micd: apply A-weighting to the sound pressure level #26668

Merged
merged 16 commits into from
Dec 2, 2022
2 changes: 1 addition & 1 deletion cereal
2 changes: 1 addition & 1 deletion selfdrive/ui/soundd/sound.cc
Original file line number Diff line number Diff line change
Expand Up @@ -48,7 +48,7 @@ void Sound::update() {

// scale volume with speed
if (sm.updated("microphone")) {
float volume = util::map_val(sm["microphone"].getMicrophone().getFilteredSoundPressureDb(), 58.f, 77.f, 0.f, 1.f);
float volume = util::map_val(sm["microphone"].getMicrophone().getFilteredSoundPressureWeightedDb(), 30.f, 55.f, 0.f, 1.f);
volume = QAudio::convertVolume(volume, QAudio::LogarithmicVolumeScale, QAudio::LinearVolumeScale);
Hardware::set_volume(volume);
}
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62 changes: 49 additions & 13 deletions system/micd.py
Original file line number Diff line number Diff line change
Expand Up @@ -10,7 +10,35 @@

RATE = 10
DT_MIC = 1. / RATE
REFERENCE_SPL = 2 * 10 ** -5 # newtons/m^2
REFERENCE_SPL = 2e-5 # newtons/m^2
SAMPLE_RATE = 44100


def calculate_spl(measurements):
# https://www.engineeringtoolbox.com/sound-pressure-d_711.html
sound_pressure = np.sqrt(np.mean(measurements ** 2)) # RMS of amplitudes
if sound_pressure > 0:
sound_pressure_level = 20 * np.log10(sound_pressure / REFERENCE_SPL) # dB
else:
sound_pressure_level = 0
return sound_pressure, sound_pressure_level


def apply_a_weighting(measurements: np.ndarray) -> np.ndarray:
# Generate a Hanning window of the same length as the audio measurements
hanning_window = np.hanning(len(measurements))
measurements_windowed = measurements * hanning_window

# Calculate the frequency axis for the signal
freqs = np.fft.fftfreq(measurements_windowed.size, d=1 / SAMPLE_RATE)

# Calculate the A-weighting filter
# https://en.wikipedia.org/wiki/A-weighting
A = 12194 ** 2 * freqs ** 4 / ((freqs ** 2 + 20.6 ** 2) * (freqs ** 2 + 12194 ** 2) * np.sqrt((freqs ** 2 + 107.7 ** 2) * (freqs ** 2 + 737.9 ** 2)))
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_windowed) * A))


class Mic:
Expand All @@ -19,27 +47,35 @@ def __init__(self, pm):
self.rk = Ratekeeper(RATE)

self.measurements = np.empty(0)
self.spl_filter = FirstOrderFilter(0, 4, DT_MIC, initialized=False)
self.spl_filter_weighted = FirstOrderFilter(0, 2.5, DT_MIC, initialized=False)

def update(self):
# self.measurements contains amplitudes from -1 to 1 which we use to
# calculate an uncalibrated sound pressure level
"""
Using amplitude measurements, calculate an uncalibrated sound pressure and sound pressure level.
Then apply A-weighting to the raw amplitudes and run the same calculations again.
Logged A-weighted equivalents are rough approximations of the human-perceived loudness.
"""

if len(self.measurements) > 0:
# https://www.engineeringtoolbox.com/sound-pressure-d_711.html
sound_pressure = np.sqrt(np.mean(self.measurements ** 2)) # RMS of amplitudes
sound_pressure_level = 20 * np.log10(sound_pressure / REFERENCE_SPL) if sound_pressure > 0 else 0 # dB
sound_pressure, _ = calculate_spl(self.measurements)
measurements_weighted = apply_a_weighting(self.measurements)
sound_pressure_weighted, sound_pressure_level_weighted = calculate_spl(measurements_weighted)
if not HARDWARE.is_sound_playing():
self.spl_filter.update(sound_pressure_level)
self.spl_filter_weighted.update(sound_pressure_level_weighted)
else:
sound_pressure = 0
sound_pressure_level = 0
sound_pressure_weighted = 0
sound_pressure_level_weighted = 0

self.measurements = np.empty(0)

msg = messaging.new_message('microphone')
msg.microphone.soundPressure = float(sound_pressure)
msg.microphone.soundPressureDb = float(sound_pressure_level)
msg.microphone.filteredSoundPressureDb = float(self.spl_filter.x)
msg.microphone.soundPressureWeighted = float(sound_pressure_weighted)

msg.microphone.soundPressureWeightedDb = float(sound_pressure_level_weighted)
msg.microphone.filteredSoundPressureWeightedDb = float(self.spl_filter_weighted.x)

self.pm.send('microphone', msg)
self.rk.keep_time()
Expand All @@ -51,13 +87,13 @@ def micd_thread(self, device=None):
if device is None:
device = "sysdefault"

with sd.InputStream(device=device, channels=1, samplerate=44100, callback=self.callback) as stream:
with sd.InputStream(device=device, channels=1, samplerate=SAMPLE_RATE, callback=self.callback) as stream:
cloudlog.info(f"micd stream started: {stream.samplerate=} {stream.channels=} {stream.dtype=} {stream.device=}")
while True:
self.update()


def main(pm=None, sm=None):
def main(pm=None):
if pm is None:
pm = messaging.PubMaster(['microphone'])

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