A comparison of speaker identification results using features based on cepstrum and Fourier-Bessel expansion

A compact representation of speech is possible using Bessel functions because of the similarity between voiced speech and the Bessel functions, Both voiced speech and the Bessel functions exhibit quasiperiodicity and decaying amplitude with time. This paper presents the results of speaker identification experiments using features obtained from 1) the Fourier-Bessel expansion and 2) the cepstral representation of speech frames. Identification scores of 65% and 76% were achieved using features based on J(1)(t) expansion of air-to-ground speech transmission databases of 143 and 1054 test utterances, respectively. The corresponding scores for the two databases using cepstral coefficients. of a comparable size were 80% and 88%, A comparison of the two sets of features indicates that J(1)(t) can be used to model the hearing perception much like the mel cepstral coefficients.