Speaker identification using features based on first order Bessel function expansion of speech

Author

Gopalan, K. ; Anderson, T.R. ; Cupples, E.J.

Author_Institution

Purdue Univ., Hammond, IN, USA

Volume

2

fYear

1997

fDate

20-22 Aug 1997

Firstpage

589

Abstract

The similarity between voiced speech and the Bessel functions yields a compact representation of speech using the nonsinusoidal Bessel functions. This paper presents the results of speaker identification experiments using features obtained from the first order Bessel function expansion of speech frames. Identification results on two large data bases using features based on {J₁(t)} expansion showed scores ranging from 55% to 75%. The scores depended on the indices of the Bessel functions used in the feature representation

Keywords

Bessel functions; feature extraction; signal representation; speaker recognition; speech processing; feature representation; first order Bessel function expansion; nonsinusoidal Bessel functions; speaker identification; speech representation; voiced speech; Background noise; Bandwidth; Fourier series; Frequency; Laboratories; Signal representations; Signal synthesis; Speech analysis; Speech synthesis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, Computers and Signal Processing, 1997. 10 Years PACRIM 1987-1997 - Networking the Pacific Rim. 1997 IEEE Pacific Rim Conference on

Conference_Location

Victoria, BC

Print_ISBN

0-7803-3905-3

Type

conf

DOI

10.1109/PACRIM.1997.620332

Filename

620332