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Ozellikler.m
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Ozellikler.m
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%*** 24/12/2018*********************************************%
%*** ALHASAN ALKHATIB B140100255****************************%
%*** Ses kayitlari ile Parkinson hastaligi tespiti**********%
%*** Ozellikler.m dosyasi***********************************%
%***********************************************************%
fileID = fopen('test1.txt','w');
%342 Ornek
for Nx=1:342
s=['s (',num2str(Nx),').wav'];
[y ,fs]=audioread(s);
y=y(:,1);
x=y( floor( length(y) / 4 ) : floor( 3*length(y) / 4 ) );
dt = 1/fs;
t = 0:dt:length(x)*dt-dt;
[b0,a0] = butter(2,325/(fs/2));
xin = abs(x);
xin = filter(b0,a0,xin);
xin = xin-mean(xin);
x2 = zeros(length(xin),1);
x2(1:length(x)-1) = xin(2:length(x));
zc = length(find((xin>0 & x2<0) | (xin<0 & x2>0)));
F0 = 0.5*fs*zc/length(x);
%fprintf('Zero-crossing F0 estimate is %3.3f Hz.\n',F0)
data=x';
data= filter(b0,a0,data);
NN=length(data);
%sound(data,fs)
ms=1/F0;
frame=floor(ms*fs);
duration=length(data)/fs;
peaks=zeros(1,length(data));
for i=2:length(data)-1
if( data(i) > data(i-1) && data(i) > data(i+1) && data(i)>0 )
peaks(i)=1;
end
if( data(i) < data(i-1) && data(i) < data(i+1) && data(i)<0 )
peaks(i)=1;
end
end
peakone=find(peaks==1);
pe=data(peakone);
%stem(1:length(peaks),peaks,'.');hold on %%sadece peaklerden olusan bir dizi
peaks=peaks.*data;
%plot(1:length(data),data);hold on
maxes=zeros(1,length(data));
for i=1:frame:length(data)-frame
% z(1+floor(i/frame))=max(y(i:i+frame));
[z,l]=max(abs(peaks(i:i+frame)));
maxes(l+i)=1;
end
maxone=find(maxes==1);
m=data(maxone);
q=0;
for i=2:length(m)
if abs(m(i))<0.75*abs(m(i-1))
maxes(maxone(i))=0;
end
end
ppeak_counter=0;
npeak_counter=0;
[m2,maxone2]=find(maxes==1);
for i=1:length(m2)
if data(maxone2(i))>0
ppeak_counter=ppeak_counter+1;
elseif data(maxone2(i))<0
npeak_counter=npeak_counter+1;
end
end
if Nx~=142 && Nx~=86 && Nx~=113 && Nx~=24 && Nx~=245 && Nx~=274 && Nx~=304 && Nx~=305
if ppeak_counter > npeak_counter
maxes( find( data< 0 ) )=0;
else
maxes( find( data > 0 ) )=0;
end
end
[m2,maxone2]=find(maxes==1);
%stem(1:length(maxes),maxes,'.');hold on;
T=diff(maxone2);
Tavg=mean(T);
T(find(T<0.76*Tavg))=0;
T(find(T>1.3*Tavg))=0;
t0=find(T~=0);
T0=T(t0);
pitch_length=T0*duration/length(data);
%kisi_no%
kisi_no=ceil(Nx/6);
fprintf(fileID,'%d',kisi_no);
fprintf(fileID,',');
%jitta%
ji=abs(diff(pitch_length));
jitta=mean(ji);
%fprintf('jitta is %8.8f.\n',jitta)
fprintf(fileID,'%8.8f',jitta);
fprintf(fileID,',');
%jitt%
payda=mean(pitch_length);
jitt=(jitta/payda)*100;
%fprintf('jitt is %8.8f.\n',jitt)
fprintf(fileID,'%8.8f',jitt);
fprintf(fileID,',');
%jit_rap %
rap3=zeros( 1 , length(pitch_length)-2 );
for i=2 : (length(pitch_length)-1)
rap3(i-1)=sum( pitch_length( (i-1) : (i+1) ) )/3;
end
jit_rap =100 * mean( abs( pitch_length(2 : (end-1) ) - rap3 ) ) / payda;
%fprintf('jit_rap is %8.8f.\n',jit_rap)
fprintf(fileID,'%8.8f',jit_rap);
fprintf(fileID,',');
%jit_ppq5%
ppq5=zeros( 1 , length(pitch_length)-4 );
for i=3 : (length(pitch_length)-2)
ppq5(i-2)=sum( pitch_length( (i-2) : (i+2) ) )/5;
end
jit_ppq5 =100 * mean( abs( pitch_length(3 : (end-2) ) - ppq5 ) ) / payda;
%fprintf('jit_ppq5 is %8.8f.\n',jit_ppq5)
fprintf(fileID,'%8.8f',jit_ppq5);
fprintf(fileID,',');
%jitt_DDP%
ddp=zeros(1,length(pitch_length)-2);
for i=2:length(pitch_length)-1
ddp(i-1)=abs( ( pitch_length(i+1)-pitch_length(i) ) - ( pitch_length(i)-pitch_length(i-1) ) );
end
jitt_DDP=mean(ddp);
%fprintf('jitt_DDP is %8.8f.\n',jitt_DDP)
fprintf(fileID,'%8.8f',jitt_DDP);
fprintf(fileID,',');
%shimer parameteres%
A=abs(data(maxone2));
Aavg=mean(A);
%shDB%
shimdb=zeros(1,length(maxone2)-1);
for i=1:length(A)-1
shimdb(i)= 20 * abs ( log10( A(i+1) / A(i) ) );
end
shDB=mean(shimdb);
%fprintf('shDB is %8.8f.\n',shDB)
fprintf(fileID,'%8.8f',shDB);
fprintf(fileID,',');
%shim%
shim= 100 * mean( abs( A(1:(end-1)) - A(2:end) ) )/Aavg;
%fprintf('shim is %8.8f.\n',shim)
fprintf(fileID,'%8.8f',shim);
fprintf(fileID,',');
%sh_apq3%
apq3_pay=zeros(1,length(A)-2);
for i=2:length(A)-1
apq3_pay(i-1)= A(i) - mean( A( (i-1):(i+1) ) );
end
sh_apq3= 100*mean( abs(apq3_pay) ) / Aavg;
%fprintf('sh_apq3 is %8.8f.\n',sh_apq3)
fprintf(fileID,'%8.8f',sh_apq3);
fprintf(fileID,',');
%sh_apq5%
apq5_pay=zeros(1,length(A)-4);
for i=3:length(A)-2
apq5_pay(i-2)= A(i) - mean( A( (i-2):(i+2) ) );
end
sh_apq5= 100*mean( abs(apq5_pay) ) / Aavg;
%fprintf('sh_apq5 is %8.8f.\n',sh_apq5)
fprintf(fileID,'%8.8f',sh_apq5);
fprintf(fileID,',');
%sh_apq11%
apq11_pay=zeros(1,length(A)-10);
for i=6:length(A)-5
apq11_pay(i-5)= A(i) - mean( A( (i-5):(i+5) ) );
end
sh_apq11= 100*mean( abs(apq11_pay) ) / Aavg;
%fprintf('sh_apq11 is %8.8f.\n',sh_apq11)
fprintf(fileID,'%8.8f',sh_apq11);
fprintf(fileID,',');
%sh_DDP%
shddp=zeros(1,length(A)-2);
for i=2:length(A)-1
shddp(i-1)=abs( ( A(i+1)-A(i) ) - ( A(i)-A(i-1) ) );
end
shim_DDP=mean(shddp);
%fprintf('shim_DDP is %8.8f.\n',shim_DDP)
fprintf(fileID,'%8.8f',shim_DDP);
fprintf(fileID,',');
%median_pitch%
median_pitch=median(pitch_length);
%fprintf('median_pitch is %8.8f.\n',median_pitch)
fprintf(fileID,'%8.8f',median_pitch);
fprintf(fileID,',');
%mean_pitch%
mean_pitch=mean(pitch_length);
%fprintf('mean_pitch is %8.8f.\n',mean_pitch)
fprintf(fileID,'%8.8f',mean_pitch);
fprintf(fileID,',');
%max_pitch%
max_pitch=max(pitch_length);
%fprintf('max_pitch is %8.8f.\n',max_pitch)
fprintf(fileID,'%8.8f',max_pitch);
fprintf(fileID,',');
%min_pitch%
min_pitch=min(pitch_length);
%fprintf('min_pitch is %8.8f.\n',min_pitch)
fprintf(fileID,'%8.8f',min_pitch);
fprintf(fileID,',');
%range_pitch%
range_pitch=max_pitch-min_pitch;
%fprintf('range_pitch is %8.8f.\n',range_pitch)
fprintf(fileID,'%8.8f',range_pitch);
fprintf(fileID,',');
%s_sapma_pitch% %standart deviation%
s_sapma_pitch=std(pitch_length);
%fprintf('standart_sapma_pitch is %8.8f.\n',s_sapma_pitch)
fprintf(fileID,'%8.8f',s_sapma_pitch);
fprintf(fileID,',');
%otoKT%
T0=floor(fs/F0);
otoKT=(1/(NN-T0))*sum( abs(data(T0:NN-1)).*abs(data(1:NN-T0)) );
%fprintf('otoKT is %8.8f.\n',otoKT)
fprintf(fileID,'%8.8f',otoKT);
fprintf(fileID,',');
%otoK%
otoK= (1/NN)*sum( abs(data(1:NN-1)).*abs(data(1:NN-1)) );
%fprintf('otoK is %8.8f.\n',otoK)
fprintf(fileID,'%8.8f',otoK);
fprintf(fileID,',');
%HNR %
HNR=otoKT/(otoK-otoKT);
%fprintf('HNR is %8.8f.\n',HNR)
fprintf(fileID,'%8.8f',HNR);
fprintf(fileID,',');
%NHR%
NHR=1/HNR;
%fprintf('NHR is %8.8f.\n',NHR)
fprintf(fileID,'%8.8f',NHR);
fprintf(fileID,',');
%class%
if (Nx<=174)
hasta=0;
else
hasta=1;
end
fprintf(fileID,'%d',hasta);
%new line%
fprintf(fileID,'\n');
end
fclose(fileID);