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SpiN2022 - 13th Speech in Noise Workshop - Virtual Conference
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P58 The influence of linguistic properties on recognition of naturalistic speech in noise Jing ShenDepartment of Communication Sciences and Disorders, Temple University, Philadelphia, PA, United States Lauren Calandruccio, Alyssa LiusieDepartment of Psychological Sciences, Case Western Reserve University, Cleveland, OH, United States Caitlyn DececcoDepartment of Communication Sciences and Disorders, Temple University, Philadelphia, PA, United States(a) Presenting(b) Attending Speech in noise outcome measures are typically based on the recognition of linguistically controlled sentences presented with background noise. These measures often lack ecological validity because they fall short in accounting for perceptual and psycholinguistic variables inherent in real-life conversations. To understand how lexical properties of conversational speech material influence recognition of speech in noise, new stimuli were created based on the Diapix task [Hazan and Baker, 2011, JAS...
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