Detail publikace
Classifiers in speech recognition systems based on TRAPS
GRÉZL, F.
Originální název
Classifiers in speech recognition systems based on TRAPS
Anglický název
Classifiers in speech recognition systems based on TRAPS
Jazyk
en
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.
Anglický 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.
Dokumenty
BibTex
@inproceedings{BUT10284,
author="František {Grézl}",
title="Classifiers in speech recognition systems based on TRAPS",
annote="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.",
address="Faculty of Electrical Engineering and Communication BUT",
booktitle="Proceedings of 8th Conference STUDENT EEICT 2002",
chapter="10284",
institution="Faculty of Electrical Engineering and Communication BUT",
year="2002",
month="april",
pages="74--77",
publisher="Faculty of Electrical Engineering and Communication BUT",
type="conference paper"
}