Title :
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
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;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7803-7041-4
DOI :
10.1109/ICASSP.2001.940791
