12 found
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  1.  52
    Are there interactive processes in speech perception?James L. McClelland, Daniel Mirman & Lori L. Holt - 2006 - Trends in Cognitive Sciences 10 (8):363-369.
  2.  18
    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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  3.  44
    Reflections on mirror neurons and speech perception.Andrew J. Lotto, Gregory S. Hickok & Lori L. Holt - 2009 - Trends in Cognitive Sciences 13 (3):110-114.
  4.  55
    Learning Foreign Sounds in an Alien World: Videogame Training Improves Non-Native Speech Categorization.Sung-joo Lim & Lori L. Holt - 2011 - Cognitive Science 35 (7):1390-1405.
    Although speech categories are defined by multiple acoustic dimensions, some are perceptually weighted more than others and there are residual effects of native-language weightings in non-native speech perception. Recent research on nonlinguistic sound category learning suggests that the distribution characteristics of experienced sounds influence perceptual cue weights: Increasing variability across a dimension leads listeners to rely upon it less in subsequent category learning (Holt & Lotto, 2006). The present experiment investigated the implications of this among native Japanese learning English /r/-/l/ (...)
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  5.  53
    Dimension‐Based Statistical Learning Affects Both Speech Perception and Production.Matthew Lehet & Lori L. Holt - 2017 - Cognitive Science 41 (S4):885-912.
    Multiple acoustic dimensions signal speech categories. However, dimensions vary in their informativeness; some are more diagnostic of category membership than others. Speech categorization reflects these dimensional regularities such that diagnostic dimensions carry more “perceptual weight” and more effectively signal category membership to native listeners. Yet perceptual weights are malleable. When short-term experience deviates from long-term language norms, such as in a foreign accent, the perceptual weight of acoustic dimensions in signaling speech category membership rapidly adjusts. The present study investigated whether (...)
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  6.  30
    Listening for the Norm: Adaptive Coding in Speech Categorization.Jingyuan Huang & Lori L. Holt - 2012 - Frontiers in Psychology 3.
  7.  9
    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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  8.  30
    Effects of Attention on the Strength of Lexical Influences on Speech Perception: Behavioral Experiments and Computational Mechanisms.Daniel Mirman, James L. McClelland, Lori L. Holt & James S. Magnuson - 2008 - Cognitive Science 32 (2):398-417.
    The effects of lexical context on phonological processing are pervasive and there have been indications that such effects may be modulated by attention. However, attentional modulation in speech processing is neither well documented nor well understood. Experiment 1 demonstrated attentional modulation of lexical facilitation of speech sound recognition when task and critical stimuli were identical across attention conditions. We propose modulation of lexical activation as a neurophysiologically plausible computational mechanism that can account for this type of modulation. Contrary to the (...)
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  9.  9
    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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  10.  13
    The alluring but misleading analogy between mirror neurons and the motor theory of speech.Lori L. Holt & Andrew J. Lotto - 2014 - Behavioral and Brain Sciences 37 (2):204-205.
  11.  5
    Auditory category learning is robust across training regimes.Chisom O. Obasih, Sahil Luthra, Frederic Dick & Lori L. Holt - 2023 - Cognition 237 (C):105467.
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  12.  10
    A neural network model of the effect of prior experience with regularities on subsequent category learning.Casey L. Roark, David C. Plaut & Lori L. Holt - 2022 - Cognition 222 (C):104997.
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