ArticleTrends in hearing
Integrative Modeling of Individual Differences Recognizing Speech in Noise by Hearing-Impaired Adults.
Article in Trends in hearing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
4 authors.
Funding
Abstract
Difficulty recognizing speech in noise is a common complaint among those with sensorineural hearing loss. Yet the degree of difficulty differs widely among individuals, often unrelated to the clinical gold standard for evaluating hearing, the pure-tone audiogram. Research has isolated both auditory and nonauditory factors responsible for these differences, but these factors do not operate in isolation. In the present work, a generic computational model involving simultaneous cue sensitivity, cue reliance, and decision noise provided an integrative framework for identifying sources of between-listener variance not accounted for by the audiogram. The framework was applied to performance differences within and between normal-hearing (NH) and hearing-impaired (HI) groups in the processing of linguistic, acoustic, and statistical cues supporting speech recognition in noise. The primary source of performance differences
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