Publication detail

Classifiers in speech recognition systems based on TRAPS

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

GRÉZL, F.

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"
}