Function: demo_auditoryfilterbank
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