Discriminative model combination

被引：15

作者：

Beyerlein, P ^{[1
]}

机构：

[1] Philips Res Labs, Aachen, Germany

来源：

1997 IEEE WORKSHOP ON AUTOMATIC SPEECH RECOGNITION AND UNDERSTANDING, PROCEEDINGS | 1997年

关键词：

D O I：

10.1109/ASRU.1997.659011

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Discriminative model combination is a new approach in the field of automatic speech recognition. It aims at an optimal integration of all given (acoustic and language) models into one log-linear posterior probability distribution. As opposed to the maximum entropy approach, the coefficients of the log-linear combination are estimated on training samples using discriminative methods to obtain an optimal classifier.

引用

页码：238 / 245

页数：8