qdipanda
Newbie level 1
ann lpc voice recognition
i hav few questions and problems need help
i'm currently doin the chinese speech recognition using LPC ans ANN..
the way i doin nw is lik below
Recognition process
1-record sound fr a user
2-perform feature extraction
-sound normalization
-noise reduction
-VAD, voice activity detection
3-LPC coeff generation, coeff = lpc(sound,n-1); //n=10
4-coeff use for recognition , [a,Pf,Af]=sim(net,coeff);
Training process
1-gather few set of sound fr few ppl, eg, 一...八(1,2,3....8 ) gather 4 set as target
2-perform feature extraction
-sound normalization
-noise reduction
-VAD, voice activity detection
3-LPC coeff generation, coeff = lpc(sound,n-1); //n=10
4-perform training process useing ANN
net=newff(minmax(inputs),[21 1],{'tansig','purelin'},'traingd');
net=train(net,inputs,targets);
my problem nw is the system not recognize wat i say....
So follow is d question i need to ask...
1) is it d method at above i doin is correct o wrong??
2) if i do d correct way, d network training process is it do lik dat??
3) after the NN training process...,the regression, performance and training state of d neural network should look lik hw??
i hav few questions and problems need help
i'm currently doin the chinese speech recognition using LPC ans ANN..
the way i doin nw is lik below
Recognition process
1-record sound fr a user
2-perform feature extraction
-sound normalization
-noise reduction
-VAD, voice activity detection
3-LPC coeff generation, coeff = lpc(sound,n-1); //n=10
4-coeff use for recognition , [a,Pf,Af]=sim(net,coeff);
Training process
1-gather few set of sound fr few ppl, eg, 一...八(1,2,3....8 ) gather 4 set as target
2-perform feature extraction
-sound normalization
-noise reduction
-VAD, voice activity detection
3-LPC coeff generation, coeff = lpc(sound,n-1); //n=10
4-perform training process useing ANN
net=newff(minmax(inputs),[21 1],{'tansig','purelin'},'traingd');
net=train(net,inputs,targets);
my problem nw is the system not recognize wat i say....
So follow is d question i need to ask...
1) is it d method at above i doin is correct o wrong??
2) if i do d correct way, d network training process is it do lik dat??
3) after the NN training process...,the regression, performance and training state of d neural network should look lik hw??