Artículo de revista
Bayes-based confidence measure in speech recognition
Fecha
2005-11Registro en:
IEEE SIGNAL PROCESSING LETTERS, VOL. 12, NO. 11, NOVEMBER 2005
1070-9908
Autor
Becerra Yoma, Néstor
Carrasco, Jorge
Molina, Carlos
Institución
Resumen
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.