Automatic assessment of vowel space area
Open accessAbstract
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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Previous work has shown TTR and CD are expected to increase or remain constant as healthy individuals age.
“Previous work has shown that TTR and CD are expected to increase or remain constant as healthy individuals age [74], [75], [76].”
From A Review of Automated Speech and Language Features for Assessment of Cognitive and Thought Disorders (2020) · cites this paper as [74]
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A Speech Corpus For Chronic Kidney Disease
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- Authors
- Sandoval, S., Berisha, V., Utianski, R. L., Liss, J. M., & Spanias, A.
- Affiliations
- Arizona State University (US)
- Venue
- The Journal of the Acoustical Society of America
- Publisher
- Acoustical Society of America (ASA)
- Published
- 2013-10-21
- Volume
- 134
- Issue
- 5
- Pages
- EL477-EL483
- ISSN
- 0001-4966 (ISSN-L)
- PMC
- PMC3820657
- OpenAlex
- W2085703180
- Cited by
- 90
- References
- 31
- Citations by year
- 2026: 5 · 2025: 4 · 2024: 2 · 2023: 15 · 2022: 7 · 2021: 7 · 2020: 12 · 2019: 9 · 2018: 5 · 2017: 10 · 2016: 7 · 2015: 5 · 2014: 2
- FWCI
- 6.32
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- The Journal of the Acoustical Society of America (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Deafness and Other Communication Disorders (R21DC012558, R01DC006859)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Health Sciences › Medicine › Physiology › Voice and Speech Disorders
- Physical Sciences › Computer Science › Signal Processing › Speech and Audio Processing
- Keywords
- vowel space, speech intelligibility, speech production deficits, connected speech, corner vowels
- MeSH terms
- Algorithms, Automation, Female, Humans, Male, Phonetics, Signal Processing, Computer-Assisted, Sound Spectrography, Speech Acoustics, Speech Intelligibility, Speech Production Measurement, Time Factors, Voice Quality
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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