Bayes-based confidence measure in speech recognition

Author	dc.contributor.author	Becerra Yoma, Néstor
Author	dc.contributor.author	Carrasco, Jorge	es_CL
Author	dc.contributor.author	Molina, Carlos	es_CL
Admission date	dc.date.accessioned	2013-12-23T15:30:23Z
Available date	dc.date.available	2013-12-23T15:30:23Z
Publication date	dc.date.issued	2005-11
Cita de ítem	dc.identifier.citation	IEEE SIGNAL PROCESSING LETTERS, VOL. 12, NO. 11, NOVEMBER 2005	en_US
Identifier	dc.identifier.issn	1070-9908
Identifier	dc.identifier.uri	https://repositorio.uchile.cl/handle/2250/125827
General note	dc.description	Artículo de publicación ISI	en_US
Abstract	dc.description.abstract	In this letter, Bayes-based confidence measure (BBCM) in speech recognition is proposed. BBCM is applicable to any standard word feature and makes use of information about the speech recognition engine performance. In contrast to ordinary confidence measures, BBCM is a probability, which is interesting itself from the practical and theoretical point of view. If applied with word density confidence measure (WDCM), BBCM dramatically improves the discrimination ability of the false acceptance curve when compared to WDCM itself.	en_US
Lenguage	dc.language.iso	en_US	en_US
Type of license	dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Chile	*
Link to License	dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/cl/	*
Keywords	dc.subject	Bayes theorem	en_US
Título	dc.title	Bayes-based confidence measure in speech recognition	en_US
Document type	dc.type	Artículo de revista

Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile