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Autor/inn/enLiu, Chang; Jin, Su-Hyun
TitelPsychometric Functions of Vowel Detection and Identification in Long-Term Speech-Shaped Noise
QuelleIn: Journal of Speech, Language, and Hearing Research, 62 (2019) 5, S.1473-1485 (13 Seiten)
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1092-4388
SchlagwörterPsychometrics; Vowels; Speech Communication; Identification; Acoustics; North American English; Hearing (Physiology); Auditory Perception; Pronunciation; Measurement
AbstractPurpose: The goal of this study was to investigate vowel detection and identification in noise and provide baseline data regarding how vowel perception changed with signal-to-noise ratios. Psychometric functions of vowel detection and identification for 12 American English isolated vowels in long-term speech-shaped noise were examined for young listeners with normal hearing in this study. Method: Vowel detection was measured at sensation levels from -10 to +5 dB (re: thresholds of vowel detection from the study of Liu and Eddins, 2008a) with a 4-interval forced-choice procedure. Thresholds of vowel detection were computed for each listener as the speech level at which 70.7% correct performance was reached. Vowel identification was then examined at sensation levels from 0 to 12 dB relative to detection thresholds for each listener. Thresholds of vowel identification were calculated as the speech level with vowel identifiability (d') equals to 1. Results: Thresholds of vowel detection and identification were significantly affected by vowel category. Slopes of psychometric functions of vowel identification were significantly dependent on vowel category, whereas slopes of psychometric functions of vowel detection were not. Conclusions: These results suggest that, given the same sensation levels, especially at low sensation levels, vowel sounds are not equally perceivable in terms of identifiability. (As Provided).
AnmerkungenAmerican Speech-Language-Hearing Association. 2200 Research Blvd #250, Rockville, MD 20850. Tel: 301-296-5700; Fax: 301-296-8580; e-mail: slhr@asha.org; Web site: http://jslhr.pubs.asha.org
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2020/1/01
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