DEMO_AUDITORYFILTERBANK Construct an auditory filterbank
In this file we construct a uniform filterbank using a the impulse
response of a 4th order gammatone for each channel. The center frequencies
are equidistantly spaced on an ERB-scale, and the width of the filter are
choosen to match the auditory filter bandwidth as determined by Moore.
Each channel is subsampled by a factor of 8 (a=8), and to generate a
nice plot, 4 channels per Erb has been used.
The filterbank covers only the positive frequencies, so we must use
FILTERBANKREALDUAL and FILTERBANKREALBOUNDS.
Figure 1: Classic spectrogram
A classic spectrogram of the spoken sentense. The dynamic range has
been set to 50 dB, to highlight the most important features.
Figure 2: Auditory filterbank representation
Auditory filterbank representation of the spoken sentense using
gammatone filters on an Erb scale. The dynamic range has been set to
50 dB, to highlight the most important features.
References:
B. R. Glasberg and B. Moore. Derivation of auditory filter shapes from
notched-noise data. Hearing Research, 47(1-2):103, 1990.
Url: http://ltfat.github.io/doc/demos/demo_auditoryfilterbank.html
See also: freqtoaud, audfiltbw, gammatonefir, ufilterbank, filterbankrealdual.
Package: ltfat