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Publication detail
GRÉZL, F.
Original Title
Classifiers in speech recognition systems based on TRAPS
Type
conference paper
Language
English
Original 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.
Keywords
speech recognition, temporal patterns, linear discriminant analysis
Authors
Released
25. 4. 2002
Publisher
Faculty of Electrical Engineering and Communication BUT
Location
Brno
ISBN
80-214-2116-9
Book
Proceedings of 8th Conference STUDENT EEICT 2002
Pages from
74
Pages to
77
Pages count
4
BibTex
@inproceedings{BUT10284, author="František {Grézl}", title="Classifiers in speech recognition systems based on TRAPS", booktitle="Proceedings of 8th Conference STUDENT EEICT 2002", year="2002", pages="74--77", publisher="Faculty of Electrical Engineering and Communication BUT", address="Brno", isbn="80-214-2116-9" }