Using a genetic algorithm to estimate parameters of a coarticulation model

Brian O. Bush, John Paul Hosom, Alexander Kain, Akiko Amano-Kusumoto

Research output: Contribution to journalConference article

3 Scopus citations

Abstract

We present a real-coded genetic algorithm that efficiently estimates parameters of a formant trajectory model. The genetic algorithm uses roulette-wheel selection and elitism to minimize the root mean square error between the observed formant trajectory and the model trajectory. Parameters, including vowel and consonant target values and coarticulation parameters, are estimated for a corpus of English clear and conversational CVC words. Results show consistent consonant formant targets, even when those consonants do not themselves have formant structure. We also present findings of a relationship between a coarticulation parameter and the consonant identity.

Original languageEnglish (US)
Pages (from-to)2677-2680
Number of pages4
JournalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
StatePublished - Dec 1 2011
Event12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011 - Florence, Italy
Duration: Aug 27 2011Aug 31 2011

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Keywords

  • Coarticulation
  • Formant targets
  • Genetic algorithms

ASJC Scopus subject areas

  • Language and Linguistics
  • Human-Computer Interaction
  • Signal Processing
  • Software
  • Modeling and Simulation

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