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Code covered by the BSD License

ERBFilterBank(x, fcoefs) function output = ERBFilterBank(x, fcoefs)
ERBSpace(lowFreq, highFreq, N) function cfArray = ERBSpace(lowFreq, highFreq, N)
fcoefs=MakeERBFilters(fs,numC... function [fcoefs]=MakeERBFilters(fs,numChannels,lowFreq)
fft2gammatonemx(nfft, sr, nfi... wts = fft2gammatonemx(nfft, sr, nfilts, width, minfreq, maxfreq, maxlen)
gammatonegram(X,SR,TWIN,THOP,... Y = gammatonegram(X,SR,N,TWIN,THOP,FMIN,FMAX,USEFFT,WIDTH)
gammatone_demo.m
Gammatone-like spectrograms
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Gammatone-based (auditory) spectrograms

21 Feb 2009 (Updated 12 Mar 2009)

Calculates a spectrogram-like time-frequency intensity matrix based on Gammatone filters.

File Information
Description	Gammatone filters are a popular linear approximation to the filtering performed by the ear. This routine provides a simple wrapper for generating time-frequency surfaces based on a gammatone analysis, which can be used as a replacement for a conventional spectrogram. It also provides a fast approximation to this surface based on weighting the output of a conventional FFT. The underlying Gammatone filters are taken (with permission) from Malcolm Slaney's Auditory Toolbox, http://cobweb.ecn.purdue.edu/~malcolm/interval/1998-010/ .
Required Products	Signal Processing Toolbox
MATLAB release	MATLAB 7.3 (R2006b)

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Everyone's Tags	auditory, cochlea, gammatone, sound, spectrogram
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Updates
23 Feb 2009	"Fast" method now exactly models frequency response of classic filters; demo routine now includes plots to compare them.
12 Mar 2009	- removed stray reference to local function (imgsc) - use "figure" to avoid overwriting plot in demo script