applyProcess_real.m

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%
% endfire
% refer to "A Dual-Microphone Speech Enhancement Algorithm
% Based on the Coherence Function"
%
% broadside
% refer to "A coherence-based noise reduction algorithm for binaural
% hearing aids"
%
% 
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% close all
% clear all;
%addpath(genpath('lib'));
c = 340; % speed of sound

%%
%% load recorded office noise audio

fs = 16000;

% %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
M = size(x,2);
%% 
frameLength = 256;
overlap = 128;
inc = frameLength - overlap;
N_FFT = 256;
% test xmos 4-mic circular array recordings
x = loadwav('wav/xmos/rec/');
d = 0.064;
switch 1
    case 1
        x = x(:,[1,3]); % extract speaker-1
        disp('speaker-1 is in front of mic1')
    case 2
        x = x(:,[4,2]); % extract speaker-2
        disp('speaker-2 is in front of mic4')
    otherwise
        disp('other value')
end

x1 = x;

%% process

[ y,Fvv2,SNR] = process(x1,d);

%% evaluate
speech = sig.speech;
% [pesq_mos]= pesq_vec(speech, out,fs)
%rmpath(genpath('lib'));
visual( x(:,1),y );
% util.fig(out, fs);