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fikrul said:Hello guys,
How to apply the MFCC(mel-frequency cepstral coefficient) coefficient into neural network using matlab?
Please help me on this matter...
net=newff(minmax( X (n) MFCC ),[13 4],{'tansig''tansig'},'trainlm');
Target would be the data set which is actual, desired, taken from the system for particular known signal and input P is arbitrary input data set which is taken at run time (current signal)fikrul said:How about the target? What it should be?
You need to take same set of 13 coefficient for the signal which is need to be identified (actual signal)fikrul said:if my P the input which are my 13coefficient, what is going to be for my T(target)..??
net = newff(P,T,5);
Y = sim(net,P);
plot(P,T,P,Y,'o')
net.trainParam.epochs = 50;
net = train(net,P,T);
Y = sim(net,P);
plot(P,T,P,Y,'o')
net=newff(minmax( X (n) MFCC ),[13 4],{'tansig''tansig'},'trainlm');
[net,tr]= train( X (n) MFCC ,T);
%net=newff( P,T,[],{'tansig''tansig'},'trainlm');
%net= train(net, P ,T);
net = newff(P,T,5); %Here a network is created with one hidden layer of five neurons.
net.trainParam.epochs = 50;
net = train(net,P,T);