Learning phonetic rules in a speech recognition system

Zoltán Alexin, J. Csirik, T. Gyimóthy, M. 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 publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages35-44
Number of pages10
Volume1297
ISBN (Print)3540635149, 9783540635147
DOIs
Publication statusPublished - 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)03029743
ISSN (Electronic)16113349

Other

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

Fingerprint

Inductive logic programming (ILP)
Speech analysis
Rule Learning
Speech Recognition
Speech recognition
Spectrogram
Genetic algorithms
Acoustics
Inductive Logic Programming
Prolog
Knowledge-based
Genetic Algorithm
Module
Model

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Alexin, Z., Csirik, J., Gyimóthy, T., Jelasity, M., & Tóth, L. (1997). Learning phonetic rules in a speech recognition system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1297, 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

Learning phonetic rules in a speech recognition system. / Alexin, Zoltán; Csirik, J.; Gyimóthy, T.; Jelasity, M.; Tóth, László.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1297 Springer Verlag, 1997. p. 35-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1297).

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

Alexin, Z, Csirik, J, Gyimóthy, T, Jelasity, M & Tóth, L 1997, Learning phonetic rules in a speech recognition system. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 1297, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1297, Springer Verlag, pp. 35-44, 7th International Workshop on Inductive Logic Programming, ILP 1997, Prague, Czech Republic, 9/17/97. https://doi.org/10.1007/3540635149_33
Alexin Z, Csirik J, Gyimóthy T, Jelasity M, Tóth L. Learning phonetic rules in a speech recognition system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1297. Springer Verlag. 1997. p. 35-44. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/3540635149_33
Alexin, Zoltán ; Csirik, J. ; Gyimóthy, T. ; Jelasity, M. ; Tóth, László. / Learning phonetic rules in a speech recognition system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1297 Springer Verlag, 1997. pp. 35-44 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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