Fractal dimension applied to speaker identification

Author

Petry, A. ; Barone, Dante A. C.

Author_Institution

Instituto de Informatica, Univ. Fed. do Rio Grande do Sul, Porto Alegre

Volume

1

fYear

2001

fDate

2001

Firstpage

405

Abstract

Reports the results obtained in a speaker identification system based on Bhattacharrya distance, which combines LP-derived cepstral coefficients, with a nonlinear dynamic feature namely fractal dimension. The nonlinear dynamic analysis starts with the phase space reconstruction, and the fractal dimension of the correspondent attractor trajectory is estimated. This analysis is performed in every speech window, providing a measure of a time-dependent fractal dimension. The corpus used in the tests is composed by 37 different speakers, and the best results are obtained when the fractal dimension is included, suggesting that the information added with this feature was not present so far

Keywords

fractals; prediction theory; probability; speaker recognition; time series; Bhattacharrya distance; LP-derived cepstral coefficients; attractor trajectory; fractal dimension; nonlinear dynamic analysis; nonlinear dynamic feature; phase space reconstruction; speaker identification; speech window; Cepstral analysis; Data mining; Delay effects; Fractals; Multidimensional systems; Nonlinear dynamical systems; Phase estimation; Speaker recognition; Speech analysis; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940853

Filename

940853