  Mel Frequency Cepstral Coefficients (MFCCs) are the most popularly used
speech features in most speech and speaker recognition applications. In this
paper, we study the effect of resampling a speech signal on these speech
features. We first derive a relationship between the MFCC param- eters of the
resampled speech and the MFCC parameters of the original speech. We propose six
methods of calculating the MFCC parameters of downsampled speech by
transforming the Mel filter bank used to com- pute MFCC of the original speech.
We then experimentally compute the MFCC parameters of the down sampled speech
using the proposed meth- ods and compute the Pearson coefficient between the
MFCC parameters of the downsampled speech and that of the original speech to
identify the most effective choice of Mel-filter band that enables the computed
MFCC of the resampled speech to be as close as possible to the original speech
sample MFCC.
