Binaural hearing involves combining auditory information across the ears. With binaural hearing, listeners benefit from perceiving sounds from different spatial locations. This is critical in solving the "cocktail party problem" (i.e., understanding speech in the presence of competing background sounds and noise). As humans get older, hearing loss increases, binaural abilities decrease, and the cocktail party problem becomes increasingly difficult. This research studies the mechanisms underlying the impact of age and hearing loss on speech-perception in noise and cocktail-party listening situations. More specifically, the role of hearing asymmetries between the ears is investigated. The specific aims are to generate an audiological and binaural-hearing-focused dataset for a large cohort of participants that vary in hearing asymmetry, age, and hearing loss and to use machine learning to uncover complex associations and generate novel hypotheses relating audiometric variables and basic binaural-hearing abilities to the cocktail-party problem. Participants in this research will complete perceptual measures of hearing acuity and spatial hearing. Participants will also report on speech understanding under noisy and challenging listening conditions. This research may lead to improvements in audiological care and hearing interventions.
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Sound localization
Timeframe: After enrollment, in one visit lasting 1-2 hours
Spatial release from masking
Timeframe: After enrollment, in one visit lasting 1-2 hours