I'm developing an Artificial Neural Network based Speech Recognition System using MFCCs.
Suppose I have 260 input nodes in the ANN, and this number of nodes corresponds to the number of MFCCs that I will use. During feature extraction the number of total coefficients vary with respect to the duration of the sound file. This poses a problem if the ANN was trained just for 260 coefficients.
So most likely the system will fail if a different sound duration which yields lesser or greater number of coefficients is used to test the Neural Network. My question is how do I go about this problem? I have seen several papers in the net talking about Speech Recognition using ANN but I haven't seen something concerning this problem