I have a dataset with over 2000 examples of digits (0 to 9) recorded on wav files. I'm trying to process these files with MFCC so that later I could train an Artificial Neural Network (ANN).
My problem is that ANNs requires, each sample of data, to have the same size, and every single tool I tried (HTK, Matlab and others..), generates outputs of different sizes.
This is probably due to the fact that some digits take more time to be pronounced than others. But how could I deal with this? Should I crop then in order to force them to have the same size? Or should I concatenate all of them with '0's, which would also make them with the same size?
I got stuck with the implementation, any suggestion is welcome