Kernel springy discriminant analysis and its application to a phonological awareness teaching system

András Kocsor, Kornél Kovács

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Making use of the ubiquitous kernel notion, we present a new nonlinear supervised feature extraction technique called Kernel Springy Discriminant Analysis. We demonstrate that this method can efficiently reduce the number of features and increase classification performance. The improvements obtained admittedly arise from the nonlinear nature of the extraction technique developed here. Since phonological awareness is a great importance in learning to read, a computer-aided training system could be most beneficial in teaching young learners. Naturally, our system employs an effective automatic phoneme recognizer based on the proposed feature extraction technique.

Original languageEnglish
Title of host publicationText, Speech and Dialogue - 5th International Conference, TSD 2002, Proceedings
EditorsIvan Kopecek, Karel Pala, Petr Sojka
PublisherSpringer Verlag
Pages325-328
Number of pages4
ISBN (Print)3540441298, 9783540441298
Publication statusPublished - Jan 1 2002
Event5th International Conference on Text, Speech and Dialogue, TSD 2002 - Brno, Czech Republic
Duration: Sep 9 2002Sep 12 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2448
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other5th International Conference on Text, Speech and Dialogue, TSD 2002
CountryCzech Republic
CityBrno
Period9/9/029/12/02

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Kocsor, A., & Kovács, K. (2002). Kernel springy discriminant analysis and its application to a phonological awareness teaching system. In I. Kopecek, K. Pala, & P. Sojka (Eds.), Text, Speech and Dialogue - 5th International Conference, TSD 2002, Proceedings (pp. 325-328). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2448). Springer Verlag.