This study examines the effects of different listener-oriented speaking styles and semantic contexts on online spoken word recognition using eyetracking. In Experiment 1, different groups of listeners participated in a word-identification-in-noise and in a pleasantness-rating task. Listeners heard sentences with high- versus low-predictability semantic contexts produced in infant-directed speech, Clear Speech, and Conversational Speech. Experiment 2 (in silence) and 3 (in noise) investigated the time course of visual fixations to target objects when participants were listening to different speaking styles and contexts. Results from all experiments show that relative to conversational speech, both infant-directed speech and Clear Speech improved word recognition for high-predictability sent...
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