Algorithmic software component
algorithmic software component
Genetic algorithm to estimate parameters of a coarticulation model
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
Resource Description
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Related Publication or Documentation
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Using a Genetic Algorithm to Estimate Parameters of a Coarticulation Model
Software purpose
Speech processing objective
achieves objective
achieves_objective
speech processing objective
Used by
used by
used_by
Center for Spoken Language Understanding
Developed by
resource_developed_by
Hosom, John-Paul, Ph.D.
Kain, Alexander, Ph.D.
Amano-Kusumoto, Akiko
Bush, Brian O.
2012-11-20T12:51:44.054-06:00
nvasilevsky (Nicole Vasilevsky)
2013-03-13T13:06:04.185-05:00
workflow state
Published
nvasilevsky (Nicole Vasilevsky)
Software
software
software
material_entity
independent_continuant
continuant
entity