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.
from brian import *
from brian.hears 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()