Detail publikace

Classifiers in speech recognition systems based on TRAPS

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

GRÉZL, F.

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"
}