Applying Logistic Regression to the Fusion of the NIST'99 1-Speaker Submissions

Pigeon, Stéphane, Druyts, Pascal, and Verlinde, Patrick, Applying Logistic Regression to the Fusion of the NIST'99 1-Speaker Submissions, Digital Signal Processing10(2000), 237 248.This contribution formulates the decision fusion problem encountered in the design of a multiexpert identity verification system. For this purpose, a Bayesian classifier is used and the influence of the a priori class probabilities is investigated. Logistic regression is introduced as a particular case of the naive Bayesian classifier and is applied to the fusion of all submitted data of the 1-speaker recognition task, part of the NIST'99 campaign.