Can Playing a Game Improve Children's Speech Recognition? A Preliminary Study of Implicit Talker Familiarity Effects.
Published In: American Journal of Audiology, 2024, v. 33, n. 1. P. 183 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Flaherty, Mary M.; Price, Rachael; Murgia, Silvia; Manukian, Emma 3 of 3
Abstract
Purpose: The goal was to evaluate whether implicit talker familiarization via an interactive computer game, designed for this study, could improve children's word recognition in classroom noise. It was hypothesized that, regardless of age, children would perform better when recognizing words spoken by the talker who was heard during the game they played. Method: Using a one-group pretest--posttest experimental design, this study examined the impact of short-term implicit voice exposure on children's word recognition in classroom noise. Implicit voice familiarization occurred via an interactive computer game, played at home for 10 min a day for 5 days. In the game, children (8-12 years) heard one voice, intended to become the "familiar talker." Pre- and postfamiliarization, children identified words in prerecorded classroom noise. Four conditions were tested to evaluate talker familiarity and generalization effects. Results: Results demonstrated an 11% improvement when recognizing words spoken by the voice heard in the game ("familiar talker"). This was observed only for words that were heard in the game and did not generalize to unfamiliarized words. Before familiarization, younger children had poorer recognition than older children in all conditions; however, after familiarization, there was no effect of age on performance for familiarized stimuli. Conclusions: Implicit short-term exposure to a talker has the potential to improve children's speech recognition. Therefore, leveraging talker familiarity through gameplay shows promise as a viable method for improving children's speech-in-noise recognition. However, given that improvements did not generalize to unfamiliarized words, careful consideration of exposure stimuli is necessary to optimize this approach. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:American Journal of Audiology. 2024/03, Vol. 33, Issue 1, p183
- Document Type:Article
- Subject Area:Computer Science
- Publication Date:2024
- ISSN:1059-0889
- DOI:10.1044/2023_AJA-23-00156
- Accession Number:175835747
- Copyright Statement:Copyright of American Journal of Audiology 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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