Detail publikace

Classifiers in speech recognition systems based on TRAPS

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.

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"
}