Conference paper

GRÉZL František. Classifiers in speech recognition systems based on TRAPS. In: Proceedings of 8th Conference STUDENT EEICT 2002. Brno: Faculty of Electrical Engineering and Communication BUT, 2002, pp. 74-77. ISBN 80-214-2116-9.
Publication language:english
Original title:Classifiers in speech recognition systems based on TRAPS
Title (cs):Kalifikatory zalozene na TRAPS v systemech pro rozpoznavani reci
Pages:74-77
Proceedings:Proceedings of 8th Conference STUDENT EEICT 2002
Conference:ELECTRICAL ENGINEERING, INFORMATION AND COMMUNICATION TECHNOLOGIES 2002
Place:Brno, CZ
Year:2002
ISBN:80-214-2116-9
Publisher:Faculty of Electrical Engineering and Communication BUT
Keywords
speech recognition, temporal patterns, linear discriminant analysis
Annotation
Comparison of different configuration of neural network classifiers in speech recognition based on TRAPS. Linear Discriminant Analysis (LDA) was used for reducing the dimensionality of temporal vectors.
Abstract
This article deals with feature extraction for speech recognition using temporal patterns (TRAPS). TRAP-systems use neural network classifiers. Four different configuration of classifiers are compared in this work. Linear Discriminant Analysis (LDA) was used for reducing the dimensionality of temporal vectors. Accuracies on the output of classifiers are compared. Global recognition accuracies are shown.
BibTeX:
@INPROCEEDINGS{
   author = {Franti{\v{s}}ek Gr{\'{e}}zl},
   title = {Classifiers in speech recognition systems based on TRAPS},
   pages = {74--77},
   booktitle = {Proceedings of 8th Conference STUDENT EEICT 2002},
   year = {2002},
   location = {Brno, CZ},
   publisher = {Faculty of Electrical Engineering and Communication BUT},
   ISBN = {80-214-2116-9},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php?id=7068}
}

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