Automatic assessment of vowel space area | Zendy

Steven Sandoval | Zendy; Visar Berisha | Zendy; Rene L. Utianski | Zendy; Julie Liss | Zendy; Andreas Spanias | Zendy

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Automatic assessment of vowel space area

Author(s) -

Steven Sandoval,

Visar Berisha,

Rene L. Utianski,

Julie Liss,

Andreas Spanias

Publication year - 2013

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 - 10.1121/1.4826150

Subject(s) - vowel , optimal distinctiveness theory , intelligibility (philosophy) , speech recognition , metric (unit) , connected speech , space (punctuation) , correlation , mid vowel , computer science , speech production , mathematics , psychology , formant , engineering , philosophy , operations management , geometry , epistemology , psychotherapist , operating system

Vowel space area (VSA) is an attractive metric for the study of speech production deficits and reductions in intelligibility, in addition to the traditional study of vowel distinctiveness. Traditional VSA estimates are not currently sufficiently sensitive to map to production deficits. The present report describes an automated algorithm using healthy, connected speech rather than single syllables and estimates the entire vowel working space rather than corner vowels. Analyses reveal a strong correlation between the traditional VSA and automated estimates. When the two methods diverge, the automated method seems to provide a more accurate area since it accounts for all vowels.

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