Noise compensation in a multi-modal verification system

Author

Sanderson, Conrad ; Paliwal, Kuldip K.

Author_Institution

Sch. of Microelectron. Eng., Griffith Univ., Brisbane, Qld., Australia

Volume

1

fYear

2001

fDate

2001

Firstpage

157

Abstract

In this paper we propose an adaptive multi-modal verification system comprised of a modified minimum cost Bayesian classifier (MCBC) and a method to find the reliability of the speech expert for various noisy conditions. The modified MCBC takes into account the reliability of each modality expert, allowing the de-emphasis of the contribution of opinions from the expert affected by noise. Reliability of the speech expert is found without directly modeling the noisy speech or finding the reliability a priori for various conditions of the speech signal. Experiments on the digit database show the total error to be reduced by 78% when compared to a non-adaptive system

Keywords

Bayes methods; acoustic noise; biometrics (access control); compensation; face recognition; image classification; speaker recognition; video signal processing; MCBC; digit database; face recognition; modality expert; modified minimum cost Bayesian classifier; multi-modal verification system; noise compensation; noisy conditions; reliability; speech expert; speech signal; total error; video images; Access control; Australia; Bayesian methods; Costs; Databases; Degradation; Microelectronics; Speech; System testing; Tellurium;

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.2001.940791

Filename

940791