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Genetic algorithm to estimate parameters of a coarticulation model

eagle-i ID


Resource Type

  1. Algorithmic software component


  1. Resource Description
    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
  2. Used by
    Center for Spoken Language Understanding
  3. Software purpose
    Speech processing objective
  4. Related Publication or Documentation
    Using a Genetic Algorithm to Estimate Parameters of a Coarticulation Model
  5. Developed by
    Hosom, John-Paul, Ph.D.
  6. Developed by
    Kain, Alexander, Ph.D.
  7. Developed by
    Amano-Kusumoto, Akiko
  8. Developed by
    Bush, Brian O.
Provenance Metadata About This Resource Record
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016