Speaker recognition method based on Mel frequency cepstrum coefficient and inverted Mel frequency cepstrum coefficient

Abstract

To improve the performance of speaker recognition system,a new method of feature extraction was proposed based on Mel Frequency Cepstrum Coefficient(MFCC) and Inverted MFCC(IMFCC).This method constructed a mixed feature by combining MFCC with IMFCC using Fisher criterion.The experimental results show that the mixed feature proposed in this paper has better recognition performance compared with MFCC not only in the pure voice database but also in the noisy environments.