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

✍ Scribed by Stéphane Pigeon; Pascal Druyts; Patrick Verlinde

Book ID: 102569473
Publisher: Elsevier Science
Year: 2000
Tongue: English
Weight: 150 KB
Volume: 10
Category: Article
ISSN: 1051-2004
DOI: 10.1006/dspr.1999.0358

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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