dc.creator | Becerra Yoma, Néstor | |
dc.creator | Carrasco, Jorge | |
dc.creator | Molina, Carlos | |
dc.date.accessioned | 2013-12-23T15:30:23Z | |
dc.date.available | 2013-12-23T15:30:23Z | |
dc.date.created | 2013-12-23T15:30:23Z | |
dc.date.issued | 2005-11 | |
dc.identifier | IEEE SIGNAL PROCESSING LETTERS, VOL. 12, NO. 11, NOVEMBER 2005 | |
dc.identifier | 1070-9908 | |
dc.identifier | https://repositorio.uchile.cl/handle/2250/125827 | |
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. | |
dc.language | en_US | |
dc.rights | http://creativecommons.org/licenses/by-nc-nd/3.0/cl/ | |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Chile | |
dc.subject | Bayes theorem | |
dc.title | Bayes-based confidence measure in speech recognition | |
dc.type | Artículo de revista | |