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  1. The Learning Signal in Perceptual Tuning of Speech: Bottom Up Versus Top‐Down Information.Xujin Zhang, Yunan Charles Wu & Lori L. Holt - 2021 - Cognitive Science 45 (3):e12947.
    Cognitive systems face a tension between stability and plasticity. The maintenance of long‐term representations that reflect the global regularities of the environment is often at odds with pressure to flexibly adjust to short‐term input regularities that may deviate from the norm. This tension is abundantly clear in speech communication when talkers with accents or dialects produce input that deviates from a listener's language community norms. Prior research demonstrates that when bottom‐up acoustic information or top‐down word knowledge is available to disambiguate (...)
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  • Perceptual Cue Weighting Is Influenced by the Listener's Gender and Subjective Evaluations of the Speaker: The Case of English Stop Voicing.Alan C. L. Yu - 2022 - Frontiers in Psychology 13.
    Speech categories are defined by multiple acoustic dimensions and their boundaries are generally fuzzy and ambiguous in part because listeners often give differential weighting to these cue dimensions during phonetic categorization. This study explored how a listener's perception of a speaker's socio-indexical and personality characteristics influences the listener's perceptual cue weighting. In a matched-guise study, three groups of listeners classified a series of gender-neutral /b/-/p/ continua that vary in VOT and F0 at the onset of the following vowel. Listeners were (...)
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  • Nevertheless, it persists: Dimension-based statistical learning and normalization of speech impact different levels of perceptual processing.Matthew Lehet & Lori L. Holt - 2020 - Cognition 202:104328.
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  • Statistical learning across passive listening adjusts perceptual weights of speech input dimensions.Alana J. Hodson, Barbara G. Shinn-Cunningham & Lori L. Holt - 2023 - Cognition 238 (C):105473.
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