Open AccessPredicting Audiovisual Word Recognition in Noisy Situations: Toward Precision Audiology
Author(s) -
Joel Myerson,
Nancy TyeMurray,
Brent Spehar,
Sandra Hale,
Mitchell S. Sommers
Publication year - 2021
Publication title -
ear and hearing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.577
H-Index - 109
eISSN - 1538-4667
pISSN - 0196-0202
DOI - 10.1097/aud.0000000000001072
Subject(s) - audiology , perception , psychology , speech perception , set (abstract data type) , test (biology) , ceiling effect , variance (accounting) , speech recognition , computer science , medicine , paleontology , business , alternative medicine , accounting , pathology , neuroscience , biology , programming language
Spoken communication is better when one can see as well as hear the talker. Although age-related deficits in speech perception were observed, Tye-Murray and colleagues found that even when age-related deficits in audiovisual (AV) speech perception were observed, AV performance could be accurately predicted from auditory-only (A-only) and visual-only (V-only) performance, and that knowing individuals' ages did not increase the accuracy of prediction. This finding contradicts conventional wisdom, according to which age-related differences in AV speech perception are due to deficits in the integration of auditory and visual information, and our primary goal was to determine whether Tye-Murray et al.'s finding with a closed-set test generalizes to situations more like those in everyday life. A second goal was to test a new predictive model that has important implications for audiological assessment.