Learning phonetic rules in a speech recognition system

Zoltán Alexin, János Csirik, Tibor Gyimóthy, Mark Jelasity, László Tóth

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

2 Citations (Scopus)

Abstract

Current speech recognition systems can be categorized into two broad classes; the knowledge-based approach and the stochastic one. In this paper we present a rule-based method for the recognition of Hungarian vowels. A spectrogram model was used as a front-end module and some acoustic features were extracted (e.g. locations, intensities and shapes of local maxima) from spectrograms by using a genetic algorithm method. On the basis of these features we developed a rule set for the recognition of isolated Hungarian vowels. These rules represented by Prolog clauses were refined by the IMPUT Inductive Logic Programming method.

Original languageEnglish
Title of host publicationInductive Logic Programming - 7th International Workshop, ILP 1997, Proceedings
EditorsNada Lavrač, Sašo Džeroski
PublisherSpringer Verlag
Pages35-44
Number of pages10
ISBN (Print)3540635149, 9783540635147
DOIs
Publication statusPublished - Jan 1 1997
Event7th International Workshop on Inductive Logic Programming, ILP 1997 - Prague, Czech Republic
Duration: Sep 17 1997Sep 20 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1297
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Workshop on Inductive Logic Programming, ILP 1997
CountryCzech Republic
CityPrague
Period9/17/979/20/97

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Alexin, Z., Csirik, J., Gyimóthy, T., Jelasity, M., & Tóth, L. (1997). Learning phonetic rules in a speech recognition system. In N. Lavrač, & S. Džeroski (Eds.), Inductive Logic Programming - 7th International Workshop, ILP 1997, Proceedings (pp. 35-44). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1297). Springer Verlag. https://doi.org/10.1007/3540635149_33