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GRÉZL, F.
Originální název
Classifiers in speech recognition systems based on TRAPS
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
speech recognition, temporal patterns, linear discriminant analysis
Autoři
Vydáno
25. 4. 2002
Nakladatel
Faculty of Electrical Engineering and Communication BUT
Místo
Brno
ISBN
80-214-2116-9
Kniha
Proceedings of 8th Conference STUDENT EEICT 2002
Strany od
74
Strany do
77
Strany počet
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" }