html
Note
Click here <sphx_glr_download_auto_examples_linear_gammachirp.py> to download the full example code
sphx-glr-example-title
Example of the use of the class ~brian2hears.LinearGammachirp available in the library. It implements a filterbank of FIR gammatone filters with linear frequency sweeps as described in Wagner et al. 2009, "Auditory responses in the barn owl's nucleus laminaris to clicks: impulse response and signal analysis of neurophonic potential", J. Neurophysiol. In this example, a white noise is filtered by a gammachirp filterbank and the resulting cochleogram is plotted. The different impulse responses are also plotted.
sphx-glr-horizontal
from brian2 import *
from brian2hears import *
sound = whitenoise(100*ms).ramp()
sound.level = 50*dB
nbr_center_frequencies = 10 #number of frequency channels in the filterbank
#center frequencies with a spacing following an ERB scale
center_frequencies = erbspace(100*Hz, 1000*Hz, nbr_center_frequencies)
c = 0.0 #glide slope
time_constant = linspace(3, 0.3, nbr_center_frequencies)*ms
gamma_chirp = LinearGammachirp(sound, center_frequencies, time_constant, c)
gamma_chirp_mon = gamma_chirp.process()
figure()
imshow(gamma_chirp_mon.T, aspect='auto')
figure()
plot(gamma_chirp.impulse_response.T)
show()sphx-glr-timing
Total running time of the script: ( 0 minutes 0.441 seconds)
html
sphx-glr-signature