Publication detail

Classifiers in speech recognition systems based on TRAPS

GRÉZL, F.

Original Title

Classifiers in speech recognition systems based on TRAPS

English Title

Classifiers in speech recognition systems based on TRAPS

Type

conference paper

Language

en

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.

English 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

Released

25.04.2002

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

Documents

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"
}