Psychometric functions of vowel detection and vowel identification were measured in multi-talker babble for young normal-hearing listeners. A four-interval forced-choice procedure was used to examine the accuracy of vowel detection in babble with speech level presented from 0- to +15-dB sensation level relative to vowel detection thresholds obtained with method of limits. The accuracy of vowel detection was significantly influenced by vowel category and sensation level. The threshold of vowel detection for each vowel and each listener was defined as the speech level at which 71% accuracy of vowel detection was reached. Vowel identification was then measured in babble with vowel levels presented from 0- to 12-dB sensation level relative to individual thresholds of vowel detection, using a close-set 12-choice procedure. Results suggest that vowel identification was significantly affected by vowel category and sensation level. Altogether, the results of vowel detection and vowel identification indicate that, given the same signal-to-noise ratio, vowels are not equally audible and identifiable, possibly due to the fact that some vowels are more audible than others, and that the slope of psychometric functions of vowel identification is vowel-dependent.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.