Document Detail

A self-learning predictive model of articulator movements during speech production.
MedLine Citation:
PMID:  10738819     Owner:  NLM     Status:  MEDLINE    
A model is presented which predicts the movements of flesh points on the tongue, lips, and jaw during speech production, from time-aligned phonetic strings. Starting from a database of x-ray articulator trajectories, means and variances of articulator positions and curvatures at the midpoints of phonemes are extracted from the data set. During prediction, the amount of articulatory effort required in a particular phonetic context is estimated from the relative local curvature of the articulator trajectory concerned. Correlations between position and curvature are used to directly predict variations from mean articulator positions due to coarticulatory effects. Use of the explicit coarticulation model yields a significant increase in articulatory modeling accuracy with respect to x-ray traces, as compared with the use of mean articulator positions alone.
C S Blackburn; S Young
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  The Journal of the Acoustical Society of America     Volume:  107     ISSN:  0001-4966     ISO Abbreviation:  J. Acoust. Soc. Am.     Publication Date:  2000 Mar 
Date Detail:
Created Date:  2000-05-09     Completed Date:  2000-05-09     Revised Date:  2006-12-27    
Medline Journal Info:
Nlm Unique ID:  7503051     Medline TA:  J Acoust Soc Am     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1659-70     Citation Subset:  IM    
Department of Engineering, University of Cambridge, England.
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MeSH Terms
Jaw / physiology*
Lip / physiology*
Middle Aged
Models, Statistical*
Movement / physiology*
Sensitivity and Specificity
Speech / physiology*
Speech Production Measurement*
Tongue / physiology*
Verbal Learning / physiology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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