Analyses of vocal tract cross-distance to area mapping: An investigation of a set of vowel images
Author(s) -
Richard S. McGowan,
Michel T-T. Jackson,
Michael A. Berger
Publication year - 2012
Publication title -
the journal of the acoustical society of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.619
H-Index - 187
eISSN - 1520-8524
pISSN - 0001-4966
DOI - 10.1121/1.3665988
Subject(s) - vowel , vocal tract , mathematics , computer science , set (abstract data type) , parametric statistics , identity (music) , speech recognition , acoustics , statistics , programming language , physics
Traditional models of mappings from midsagittal cross-distances to cross-sectional areas use only local cross-distance information. These are not the optimal models on which to base the construction of a mapping between the two domains. This can be understood because phonemic identity can affect the relation between local cross-distance and cross-sectional area. However, phonemic identity is not an appropriate independent variable for the control of an articulatory synthesizer. Two alternative approaches for constructing cross-distance to area mappings that can be used for articulatory synthesis are presented. One is a vowel height-sensitive model and the other is a non-parametric model called loess. These depend on global cross-distance information and generally perform better than the traditional models.
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