Speech Sound Categories Affect Lexical Competition: Implications for Analytic Auditory Training.
Published In: Journal of Speech, Language & Hearing Research, 2024, v. 67, n. 4. P. 1281 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Hendrickson, Kristi; Bay, Katlyn; Combiths, Philip; Foody, Meaghan; Walker, Elizabeth 3 of 3
Abstract
Objectives: We provide a novel application of psycholinguistic theories and methods to the field of auditory training to provide preliminary data regarding which minimal pair contrasts are more difficult for listeners with typical hearing to distinguish in real-time. Design: Using eye-tracking, participants heard a word and selected the corresponding image from a display of four: the target word, two unrelated words, and a word from one of four contrast categories (i.e., voiced-initial [e.g., peachbeach], voiced-final [e.g., back-bag], manner-initial [e.g., talk-sock], and mannerfinal [e.g., bat-bass]). Results: Fixations were monitored to measure how strongly words compete for recognition depending on the contrast type (voicing, manner) and location (word-initial or final). Manner contrasts competed more for recognition than did voicing contrasts, and contrasts that occurred in word-final position were harder to distinguish than word-initial position. Conclusion: These results are an important initial step toward creating an evidence-based hierarchy for auditory training for individuals who use cochlear implants. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Journal of Speech, Language & Hearing Research. 2024/04, Vol. 67, Issue 4, p1281
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2024
- ISSN:1092-4388
- DOI:10.1044/2024_JSLHR-23-00307
- Accession Number:176515414
- Copyright Statement:Copyright of Journal of Speech, Language & Hearing Research is the property of American Speech-Language-Hearing Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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