MATLAB danna un warellaa

[djlaki]

yaluwane ...

mama voice recognition walata matlab haraha podi project ekak baawa eke 0-9 wenakam sinhalen kiwwama no eka display karanna thama hadala thiyenne ... mata prashnayakata thiyenne dan mama monawa hari wena wachanayak kiwwath eka meke identify karanne no ekak widihata.... example kanawa kiwwoth eka pennanda baha but number ekak display karala pennanawa ... meka nathi kara ganne kohomada ?


code eka mama pahalin danawa sup ekak deepalla poddak meka

code :-

if true
clc;
clear all;
load('voicetrainfinal.mat');
Fs=8000;
for l=1:20
clear y1 y2 y3;
display('Press ENTER to record your voice !');
pause();
x=wavrecord(Fs,Fs);
t=0.04;
j=1;
for i=1:8000
if(abs(x(i))>t)
y1(j)=x(i);
j=j+1;
end
end
y2=y1/(max(abs(y1)));
y3=[y2,zeros(1,3120-length(y2))];
y=filter([1 -0.9],1,y3'); % high pass filter to boost the high frequency components
%%frame blocking

blocklen=240;%30ms block
overlap=80;
block(1,: )=y(1:240);
for i=1:18
block(i+1,: )=y(i*160: (i*160+blocklen-1));
end
w=hamming(blocklen);
for i=1:19
a=xcorr((block(i,: ).*w'),12); % finding auto correlation from lag -12 to 12
for j=1:12
auto(j,: )=fliplr(a(j+1:j+12)); % forming autocorrelation matrix from lag 0 to 11
end
z=fliplr(a(1:12)); % forming a column matrix of autocorrelations for lags 1 to 12
alpha=pinv(auto)*z';
lpc,i)=alpha;
end
wavplay(x,Fs);
X1=reshape(lpc,1,228);
a1=sigmoid(Theta1*[1;X1']);
h=sigmoid(Theta2*[1;a1]);
m=max(h);
p1=find(h==m);
if(p1==10)
P=0
else
P=p1
end
end