Speech sound acquisition, coarticulation, and rate effects in a neural network model of speech production (1995)
Cached
Download Links
| Venue: | Psychological Review |
| Citations: | 52 - 21 self |
BibTeX
@ARTICLE{Guenther95speechsound,
author = {Frank H. Guenther},
title = {Speech sound acquisition, coarticulation, and rate effects in a neural network model of speech production},
journal = {Psychological Review},
year = {1995},
volume = {102},
pages = {594--621}
}
Years of Citing Articles
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
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. The primary goal of the modeling work described in this article is to provide a coherent theoretical framework that provides explanations for a wide range of data concerning the articulator movements used by humans to produce speech sounds. This is carried out by formulating a model that transforms strings of phonemes into continuous articulator movements for
