Classifier combination in speech recognition

被引：0
|
作者：
Felföldi, László [1 ]
Kocsor, András [1 ]
Tóth, Lászlo [1 ]
机构：
[1] Res. Grp. on Artificial Intelligence, Hungarian Academy of Sciences, University of Szeged, Aradi vértanúk tere 1, H-6720 Szeged, Hungary
来源：
Periodica Polytechnica Electrical Engineering | 2003年 / 47卷 / 1-2期
关键词：
Artificial intelligence - Database systems - Decision making - Information technology - Knowledge based systems - Learning systems;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In statistical pattern recognition, the principal task is to classify abstract data sets. Instead of using robust but computational expensive algorithms it is possible to combine 'weak' classifiers that can be employed in solving complex classification tasks. In this comparative study, we will examine the effectiveness of the commonly used hybrid schemes - especially those used for speech recognition problems - concentrating on cases which employ different combinations of classifiers.
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页码：125 / 140
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