Logarithmic Gammachirp filters

Example of the use of the class LogGammachirp available in the library. It implements a filterbank of IIR gammachirp filters as Unoki et al. 2001, “Improvement of an IIR asymmetric compensation gammachirp filter”. In this example, a white noise is filtered by a linear gammachirp filterbank and the resulting cochleogram is plotted. The different impulse responses are also plotted.

../_images/sphx_glr_log_gammachirp_001.png
from brian2 import *
from brian2hears import *

sound = whitenoise(100*ms).ramp()
sound.level = 50*dB

nbr_center_frequencies = 50  #number of frequency channels in the filterbank

c1 = -2.96 #glide slope
b1 = 1.81  #factor determining the time constant of the filters

#center frequencies with a spacing following an ERB scale
cf = erbspace(100*Hz, 1000*Hz, nbr_center_frequencies)

gamma_chirp = LogGammachirp(sound, cf, c=c1, b=b1)

gamma_chirp_mon = gamma_chirp.process()

figure()
imshow(flipud(gamma_chirp_mon.T), aspect='auto')
show()

Total running time of the script: ( 0 minutes 0.180 seconds)

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