Speaker Recognition System Based On MFCC and DCT

This paper examines and presents an approach to the recognition of speech signal using frequency spectral information with Mel frequency. It is a dominant feature for speech recognition. Mel-frequency cepstral coefficients (MFCCs) are the coefficients that collectively represent the shortterm power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a non linear mel scale of frequency. The performance of MFCC is affected by the number of filters, the shape of filters, the way that filters are spaced, and the way that the power spectrum is warped. In this paper the optimum values of above parameters are chosen to get an efficiency of 99.5 % over a very small length of audio file.