THE AUDITORY MODELING TOOLBOX
Go to function
MAY2011_GAMMATONEINIT - Initialize gammatone filterbank structure
Usage
GFB = may2011_gammatoneinit(FS,FLOW,FUP,NFILTER,BEAR,BALIGN,BINFO)
Input parameters
| FS | sampling frequency in Hz |
| FLOW | center frequency of lowest auditory filter (default, FLOW = 80) |
| FUP | center frequency of highest auditory filter (default, FUP = 8e3) |
| NFILTER | number of auditory filters which will be spaced linear on the ERB scale. If NFILTER is not a scalar but a vector, the first value is assumed to represent the number of auditory channels and the following values represents the indices of the filters which should be processed. This can be useful if a large number of channels is required as MATLAB might run out of memory for a longer exerpt if all filters are computed in one step. (default, NFILTER = round(freq2erb(FS/2)) |
| BEAR | Adjust gain coefficients of the auditory channels to incorporate middle ear effects. Note that this feature can only be used if the center frequencies of the auditory channels are above 20 hertz and below 12500 hertz. (default, BEAR = true) |
| BALIGN | time-aligned gammatone output (non-causal output) (default, BALIGN = false) |
| BINFO | info flag printing gammatone parameters on the screen (default, BINFO = false) |
Output parameters
| GFB | gammatone parameter structure which can be passed as second input argument to the function gammatone |
Description
may2011_gammatoneinit initializes a gammatone structure suitable for usage with may2011_gammatone.
Examples:
nSamples = 500; % Initialize gammatone parameter structure GFB = gammatoneInit(20e3); % Filter impulse with gammatone filtering bm = gammatone([1; zeros(nSamples-1,1)],GFB); % Plot result waveplot(1:nSamples,GFB.cf,bm);
Build with Bootstrap