[ei_map, fc, outsigl, outsigr] = breebaart2001(insig,fs); [ei_map, fc, outsigl, outsigr] = breebaart2001(insig,fs,...); [ei_map, fc] = breebaart2001(insig,fs); [ei_map, fc] = breebaart2001(insig,fs,...);
insig | input acoustic signal. |
fs | sampling rate. |
tau | characteristic delay in seconds (positive: left is leading) |
ild | characteristic ILD in dB (positive: left is louder) |
ei_map | EI-cell representation |
outsigl | internal monaural representation of the left ear |
outsigr | internal monarual respresnetaion of th right ear |
fc | center frequencies of the filterbank |
breebaart2001(insig,fs,tau,ild) computes the EI-cell representation of the signal insig sampled with a frequency of fs Hz as described in Breebaart (2001) of the signal insig sampled with a frequency of fs Hz. The parameters tau and ild define the sensitivity of the EI-cell.
The input must have dimensions '[time x left/right channel x signal no]'.
[ei_map,fc]=breebaart2001(...) additionally returns the center frequencies of the filter bank.
[ei_map,fc,ml,mr]=breebaart2001(...) additionally returns the center frequencies of the filter bank and the internal monaural representations.
The Breebaart 2001 model consists of the following stages:
Parameters for auditoryfilterbank, ihcenvelope, adaptloop and breebaart2001_eicell can be passed at the end of the line of input arguments.
The following code sets up a simple test example for the binaural output:
% Setup parameters fs = 44100; % Sampling rate T = 0.3; % Duration Spl1 = 75; % SPL of input signal 1 Spl2 = 75; % SPL of input signal 2 rho = 0; % normalized correlation of signals tau = 0; ild = 0; % Generate signals: t = [0:1/fs:T]; n1 = scaletodbspl(randn(length(t),1),Spl1); n2 = scaletodbspl(randn(length(t),1),Spl2); x1 = n1*sqrt((1+rho)/2) + n2*sqrt((1-rho)/2); x2 = n1*sqrt((1+rho)/2) - n2*sqrt((1-rho)/2); % Run the model and plot it [ei_map,fc] = breebaart2001([x1,x2], fs, tau, ild); plotfilterbank(ei_map,1,fc,fs,'audtick','lin'); |
J. Breebaart, S. van de Par, and A. Kohlrausch. Binaural processing model based on contralateral inhibition. I. Model structure. J. Acoust. Soc. Am., 110:1074--1088, August 2001.