Speech sound acquisition, coarticulation, and rate effects in a neural network model of speech production

  • Guenther F
  • Anonymous
  • 1


    Mendeley users who have this article in their library.
  • N/A


    Citations of this article.


This article describes a neural network model of speech motor skill acquisition and speech production that explains a wide range of data on variability, motor equivalence, coarticulation, and rate effects. Model parameters are learned during a babbling phase. To explain how infants learn language-specific variability limits, speech sound targets take the form of convex regions, rather than points, in orosensory coordinates. Reducing target size for better accuracy during slower speech leads to differential effects for vowels and consonants, as seen in experiments previously used as evidence for separate control processes for the 2 sound types. Anticipatory coarticulation arises when targets are reduced in size on the basis of context; this generalizes the well-known look-ahead model of coarticulation. Computer simulations verify the model's properties. (PsycINFO Database Record (c) 2005 APA, all rights reserved)

Author-supplied keywords

  • Oral Communication
  • Speech Characteristics
  • Speech Development
  • neural network model of variability and motor equi

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

  • PMID: 178


  • F H Guenther

  • Anonymous

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free