Abstract

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.

Original languageEnglish (US)
JournalJournal of the Acoustical Society of America
Volume134
Issue number5
DOIs
StatePublished - Nov 2013

Fingerprint

vowels
estimates
syllables
intelligibility
Vowel Space

ASJC Scopus subject areas

  • Acoustics and Ultrasonics
  • Arts and Humanities (miscellaneous)

Cite this

Automatic assessment of vowel space area. / Sandoval, Steven; Berisha, Visar; Utianski, Rene L.; Liss, Julie; Spanias, Andreas.

In: Journal of the Acoustical Society of America, Vol. 134, No. 5, 11.2013.

Research output: Contribution to journalArticle

@article{dced729d23784bd0b60784d00b88a952,
title = "Automatic assessment of vowel space area",
abstract = "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.",
author = "Steven Sandoval and Visar Berisha and Utianski, {Rene L.} and Julie Liss and Andreas Spanias",
year = "2013",
month = "11",
doi = "10.1121/1.4826150",
language = "English (US)",
volume = "134",
journal = "Journal of the Acoustical Society of America",
issn = "0001-4966",
publisher = "Acoustical Society of America",
number = "5",

}

TY - JOUR

T1 - Automatic assessment of vowel space area

AU - Sandoval, Steven

AU - Berisha, Visar

AU - Utianski, Rene L.

AU - Liss, Julie

AU - Spanias, Andreas

PY - 2013/11

Y1 - 2013/11

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84887463708&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84887463708&partnerID=8YFLogxK

U2 - 10.1121/1.4826150

DO - 10.1121/1.4826150

M3 - Article

C2 - 24181994

AN - SCOPUS:84887463708

VL - 134

JO - Journal of the Acoustical Society of America

JF - Journal of the Acoustical Society of America

SN - 0001-4966

IS - 5

ER -