Speech recognition with neural network pre proccessing problem
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I want to do a speech recognition project with neural network. I have used MFCC for feature extraction and I used its coefficient for neural networks input. My inputs are numbers from 0 to 9 and target vector is t=0:10:90 . After train network with two hidden layyer I obtained for correct result for my input matrix. İt is like if input =1 then output is between 10 and 20 and so on. But when I tried to add new data it gives wrong result because of time delay during recording sound. So I thougth ,I could use covariance coefficient for determining time delay. I found time delay. but I recognize I dont have referance signal for new data. Its mean I have 9 different signal but I dont know which one is I need to corrolate. Maybe I can corrolate my new data with all of them , then neural network will loss its necessary. Following graph is two signal which is 6 and they have time delay also. So as you see upper , I confused a little. What is the solution to solve this time delay problem ?

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