Affiliation:
1. Department of Hearing and Speech Sciences, Neuroscience and Cognitive Science Program, University of Maryland at College Park, College Park, United States
Abstract
Speech recognition in complex environments involves focusing on the most relevant speech signal while ignoring distractions. Difficulties can arise due to the incoming signal’s characteristics (e.g., accented pronunciation, background noise, distortion) or the listener’s characteristics (e.g., hearing loss, advancing age, cognitive abilities). Listeners who use cochlear implants (CIs) must overcome these difficulties while listening to an impoverished version of the signals available to listeners with normal hearing (NH). In the real world, listeners often attempt tasks concurrent with, but unrelated to, speech recognition. This study sought to reveal the effects of visual distraction and performing a simultaneous visual task on audiovisual speech recognition. Two groups, those with CIs and those with NH listening to vocoded speech, were presented videos of unaccented and accented talkers with and without visual distractions, and with a secondary task. It was hypothesized that, compared with those with NH, listeners with CIs would be less influenced by visual distraction or a secondary visual task because their prolonged reliance on visual cues to aid auditory perception improves the ability to suppress irrelevant information. Results showed that visual distractions alone did not significantly decrease speech recognition performance for either group, but adding a secondary task did. Speech recognition was significantly poorer for accented compared with unaccented speech, and this difference was greater for CI listeners. These results suggest that speech recognition performance is likely more dependent on incoming signal characteristics than a difference in adaptive strategies for managing distractions between those who listen with and without a CI.
Funder
National Institute on Aging
Subject
Speech and Hearing,Otorhinolaryngology
Cited by
7 articles.
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