Confidence based multiple classifier fusion in speaker verification

Huenupán F.; Yoma, NB; Molina C.; Garretón C.

Abstract

A novel framework that applies Bayes-based confidence measure for multiple classifier system fusion is proposed. Compared with ordinary Bayesian fusion, the presented approach can lead to reductions as high as 37% and 35% in EER and ROC curve area, respectively, in speaker verification. © 2008 Elsevier B.V. All rights reserved.

Más información

Título según WOS: Confidence based multiple classifier fusion in speaker verification
Título según SCOPUS: Confidence based multiple classifier fusion in speaker verification
Título de la Revista: PATTERN RECOGNITION LETTERS
Volumen: 29
Número: 7
Editorial: Elsevier
Fecha de publicación: 2008
Página de inicio: 957
Página final: 966
Idioma: English
URL: http://linkinghub.elsevier.com/retrieve/pii/S0167865508000378
DOI:

10.1016/j.patrec.2008.01.015

Notas: ISI, SCOPUS