maad.features.temporal_leq

maad.features.temporal_leq(s, fs, gain, Vadc=2, sensitivity=-35, dBref=94, dt=1)[source]

Computes the Equivalent Continuous Sound level (Leq) of an audio signal in the time domain.

Parameters:

s1D array of floats: audio to process (wav)
fsInteger: sampling frequency in Hz
gaininteger: Total gain applied to the sound (preamplifer + amplifier)
Vadcscalar, optional, default is 2Vpp (=>+/-1V): Maximal voltage (peak to peak) converted by the analog to digital convertor ADC
sensitivityfloat, optional, default is -35 (dB/V): Sensitivity of the microphone
dBrefinteger, optional, default is 94 (dBSPL): Pressure sound level used for the calibration of the microphone (usually 94dB, sometimes 114dB)
dtfloat, optional, default is 1 (second): Integration step to compute the Leq (Equivalent Continuous Sound level)

Returns:

LEQt: float: Equivalent Continuous Sound level (Leq) in dB SPL

Examples

>>> import maad
>>> s, fs = maad.sound.load('../data/spinetail.wav')
>>> Leq = maad.features.temporal_leq (s, fs, gain=42)
>>> print('Leq is %2.1fdB SPL' % Leq) 
Leq is 63.7dB SPL