questions bout chinese speech recognition in LPC & ANN

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??

chinese speech recognition

It is correct, but I suggest you to use PLP or MF-PLP for feature
extraction.
MFCC is also popular.

HTK (https://htk.eng.cam.ac.uk/) has MFCC, MF-PLP, LPC and other
techniques.
Also consider to use HMMs (Hidden Markov Models). HMMs are very
popular for
speech recognition because training process is robust.

Luis Uebel
https://www.asrlabs.com