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Speech Recognition in MATLAB using Correlation

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Admin
Admin

Posts : 474
Reputation : 8
Join date : 2014-12-10
Age : 24
Location : Pakistan

Speech Recognition in MATLAB using Correlation

Post by Admin on Thu Jun 09, 2016 1:31 am

Hi folks, I hope you are doing fine, Today I am gonna share my Speech Recognition system Made in MATLAB using Correlation, with you. I hope it will help you a lot.

Speech Recognition in MATLAB using Correlation

  •  Download the complete project to get started.


Download The Code

  • Presently in this bundle you will discover nine sound wav documents.


 

  • Five of them are the recorded sounds which are as of now sustain in the MATLAB.


 

  • Two are test records which will be perceived by the code.


 

  • The staying two are achievement and disappointment records which will run on the off chance that you got the acknowledgment or if not.


 

  • Give me a chance to explain the code a bit. As a matter of first importance, what we have to do is to transfer the initial five preparing sound documents in the product so and after that we have to test these fives records with the test records and we have to check which one is a greatest match.


 

Here's the finished code:
function speechrecognition(filename)
voice=wavread(filename);
x=voice;
x=x';
x=x(1,Smile;
x=x';
y1=wavread('one.wav');
y1=y1';
y1=y1(1,Smile;
y1=y1';
z1=xcorr(x,y1);
m1=max(z1);
l1=length(z1);
t1=-((l1-1)/2):1:((l1-1)/2);
t1=t1';
%subplot(3,2,1);
plot(t1,z1);
y2=wavread('two.wav');
y2=y2';
y2=y2(1,Smile;
y2=y2';
z2=xcorr(x,y2);
m2=max(z2);
l2=length(z2);
t2=-((l2-1)/2):1:((l2-1)/2);
t2=t2';
%subplot(3,2,2);
figure
plot(t2,z2);
y3=wavread('three.wav');
y3=y3';
y3=y3(1,Smile;
y3=y3';
z3=xcorr(x,y3);
m3=max(z3);
l3=length(z3);
t3=-((l3-1)/2):1:((l3-1)/2);
t3=t3';
%subplot(3,2,3);
figure
plot(t3,z3);
y4=wavread('four.wav');
y4=y4';
y4=y4(1,Smile;
y4=y4';
z4=xcorr(x,y4);
m4=max(z4);
l4=length(z4);
t4=-((l4-1)/2):1:((l4-1)/2);
t4=t4';
%subplot(3,2,4);
figure
plot(t4,z4);
y5=wavread('five.wav');
y5=y5';
y5=y5(1,Smile;
y5=y5';
z5=xcorr(x,y5);
m5=max(z5);
l5=length(z5);
t5=-((l5-1)/2):1:((l5-1)/2);
t5=t5';
%subplot(3,2,5);
figure
plot(t5,z5);
m6=300;
a=[m1 m2 m3 m4 m5 m6];
m=max(a);
h=wavread('allow.wav');
if m<=m1
soundsc(wavread('one.wav'),50000)
soundsc(h,50000)
elseif m<=m2
soundsc(wavread('two.wav'),50000)
soundsc(h,50000)
elseif m<=m3
soundsc(wavread('three.wav'),50000)
soundsc(h,50000)
elseif m<=m4
soundsc(wavread('four.wav'),50000)
soundsc(h,50000)
elseif m<m5
soundsc(wavread('five.wav'),50000)
soundsc(h,50000)
else
{soundsc(wavread('denied.wav'),50000)}

end

 

  • Presently in the event that you read the code from begin then you can see, above all else, I transferred the test document which I need to contrast and my specimens.


 

  • After that I uploaded all the 5 tests furthermore get their relationship with the test.


 

  • At long last toward the end I looked at the outcomes and on the premise of it I made sense of which one is right discourse record.


 

You will likewise get range diagrams of your sound documents as appeared in beneath figure:
[You must be registered and logged in to see this link.] [You must be registered and logged in to see this link.]

 

_____________________________________________________________________

For any kind of help and queries, Don't hesitate to comment below.

    Current date/time is Fri Apr 28, 2017 2:39 am