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Lookup NU author(s): Wael Almurashi,
Dr Jalal-eddin Al-Tamimi,
Professor Ghada Khattab
This is the authors' accepted manuscript of an article that has been published in its final definitive form by AIP Publishing LLC, 2020.
For re-use rights please refer to the publisher's terms and conditions.
Static cues such as formant measurements obtained at the vowel midpoint are usually taken as the main correlate for vowel identification. However, dynamic cues such as vowel-inherent spectral change (VISC) have been shown to yield better classification of vowels using discriminant analysis. The aim of this study is to evaluate the role of static versus dynamic cues in Hijazi Arabic (HA) vowel classification, in addition to vowel duration and F3, which are not usually looked at. Data from 12 male HA speakers producing eight HA vowels in /hVd/ syllables were obtained, and classification accuracy was evaluated using discriminant analysis. Dynamic cues, particularly the three-point model, had higher classification rates (average 95.5%) than the remaining models (static model: 93.5%; other dynamic models: between 65.75% and 94.25%). Vowel duration had a significant role in classification accuracy (average +8%). These results are in line with dynamic approaches to vowel classification and highlight the relative importance of cues such as vowel duration across languages, particularly where it is prominent in the phonology.
Author(s): Almurashi W, Al-Tamimi J, Khattab G
Publication type: Article
Publication status: Published
Journal: Journal of the Acoustical Society of America
Online publication date: 30/04/2020
Acceptance date: 06/12/2019
Date deposited: 12/12/2019
ISSN (print): 0001-4966
ISSN (electronic): 1520-8524
Publisher: AIP Publishing LLC
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