Article

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

Purdue Univ., Hammond, IN
IEEE Transactions on Speech and Audio Processing (Impact Factor: 2.29). 06/1999; DOI: 10.1109/89.759036
Source: IEEE Xplore

ABSTRACT 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 J1(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 J1(t)
can be used to model the hearing perception much like the mel cepstral
coefficients

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