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  1. A computational model of word segmentation from continuous speech using transitional probabilities of atomic acoustic events.Okko Räsänen - 2011 - Cognition 120 (2):149-176.
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  • (1 other version)Using Variability to Guide Dimensional Weighting: Associative Mechanisms in Early Word Learning.Keith S. Apfelbaum & Bob McMurray - 2011 - Cognitive Science 35 (6):1105-1138.
    At 14 months, children appear to struggle to apply their fairly well-developed speech perception abilities to learning similar sounding words (e.g., bih/dih; Stager & Werker, 1997). However, variability in nonphonetic aspects of the training stimuli seems to aid word learning at this age. Extant theories of early word learning cannot account for this benefit of variability. We offer a simple explanation for this range of effects based on associative learning. Simulations suggest that if infants encode both noncontrastive information (e.g., cues (...)
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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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  • Elucidating the influences of embodiment and conceptual metaphor on lexical and non-speech tone learning.Laura M. Morett, Jacob B. Feiler & Laura M. Getz - 2022 - Cognition 222 (C):105014.
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  • Prosody leaks into the memories of words.Kevin Tang & Jason A. Shaw - 2021 - Cognition 210 (C):104601.
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  • Dynamic competition account of men’s perceptions of women’s sexual interest.Jodi R. Smith, Teresa A. Treat, Thomas A. Farmer & Bob McMurray - 2018 - Cognition 174:43-54.
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  • The complementary roles of auditory and motor information evaluated in a Bayesian perceptuo-motor model of speech perception.Raphaël Laurent, Marie-Lou Barnaud, Jean-Luc Schwartz, Pierre Bessière & Julien Diard - 2017 - Psychological Review 124 (5):572-602.
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  • A role for the developing lexicon in phonetic category acquisition.Naomi H. Feldman, Thomas L. Griffiths, Sharon Goldwater & James L. Morgan - 2013 - Psychological Review 120 (4):751-778.
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  • Language Processing as Cue Integration: Grounding the Psychology of Language in Perception and Neurophysiology.Andrea E. Martin - 2016 - Frontiers in Psychology 7.
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  • 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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  • Individual Differences in Categorization Gradience As Predicted by Online Processing of Phonetic Cues During Spoken Word Recognition: Evidence From Eye Movements.Jinghua Ou, Alan C. L. Yu & Ming Xiang - 2021 - Cognitive Science 45 (3):e12948.
    Recent studies have documented substantial variability among typical listeners in how gradiently they categorize speech sounds, and this variability in categorization gradience may link to how listeners weight different cues in the incoming signal. The present study tested the relationship between categorization gradience and cue weighting across two sets of English contrasts, each varying orthogonally in two acoustic dimensions. Participants performed a four‐alternative forced‐choice identification task in a visual world paradigm while their eye movements were monitored. We found that (a) (...)
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  • The Emergence of Cultural Attractors: How Dynamic Populations of Learners Achieve Collective Cognitive Alignment.J. Benjamin Falandays & Paul E. Smaldino - 2022 - Cognitive Science 46 (8):e13183.
    Cognitive Science, Volume 46, Issue 8, August 2022.
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  • (1 other version)What Are You Waiting For? Real‐Time Integration of Cues for Fricatives Suggests Encapsulated Auditory Memory.Marcus E. Galle, Jamie Klein-Packard, Kayleen Schreiber & Bob McMurray - 2019 - Cognitive Science 43 (1):e12700.
    Speech unfolds over time, and the cues for even a single phoneme are rarely available simultaneously. Consequently, to recognize a single phoneme, listeners must integrate material over several hundred milliseconds. Prior work contrasts two accounts: (a) a memory buffer account in which listeners accumulate auditory information in memory and only access higher level representations (i.e., lexical representations) when sufficient information has arrived; and (b) an immediate integration scheme in which lexical representations can be partially activated on the basis of early (...)
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  • What do you learn from a single cue? Dimensional reweighting and cue reassociation from experience with a newly unreliable phonetic cue.Vsevolod Kapatsinski, Adam A. Bramlett & Kaori Idemaru - 2024 - Cognition 249 (C):105818.
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  • Learning mechanisms in cue reweighting.Zara Harmon, Kaori Idemaru & Vsevolod Kapatsinski - 2019 - Cognition 189 (C):76-88.
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  • Does Infant‐Directed Speech Help Phonetic Learning? A Machine Learning Investigation.Bogdan Ludusan, Reiko Mazuka & Emmanuel Dupoux - 2021 - Cognitive Science 45 (5):e12946.
    A prominent hypothesis holds that by speaking to infants in infant‐directed speech (IDS) as opposed to adult‐directed speech (ADS), parents help them learn phonetic categories. Specifically, two characteristics of IDS have been claimed to facilitate learning: hyperarticulation, which makes the categories more separable, and variability, which makes the generalization more robust. Here, we test the separability and robustness of vowel category learning on acoustic representations of speech uttered by Japanese adults in ADS, IDS (addressed to 18‐ to 24‐month olds), or (...)
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  • The Utility of Cognitive Plausibility in Language Acquisition Modeling: Evidence From Word Segmentation.Lawrence Phillips & Lisa Pearl - 2015 - Cognitive Science 39 (8):1824-1854.
    The informativity of a computational model of language acquisition is directly related to how closely it approximates the actual acquisition task, sometimes referred to as the model's cognitive plausibility. We suggest that though every computational model necessarily idealizes the modeled task, an informative language acquisition model can aim to be cognitively plausible in multiple ways. We discuss these cognitive plausibility checkpoints generally and then apply them to a case study in word segmentation, investigating a promising Bayesian segmentation strategy. We incorporate (...)
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  • The Co‐evolution of Speech and the Lexicon: The Interaction of Functional Pressures, Redundancy, and Category Variation.Bodo Winter & Andrew Wedel - 2016 - Topics in Cognitive Science 8 (2):503-513.
    The sound system of a language must be able to support a perceptual contrast between different words in order to signal communicatively relevant meaning distinctions. In this paper, we use a simple agent-based exemplar model in which the evolution of sound-category systems is understood as a co-evolutionary process, where the range of variation within sound categories is constrained by functional pressure to keep different words perceptually distinct. We show that this model can reproduce several observed effects on the range of (...)
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  • Automatic analysis of slips of the tongue: Insights into the cognitive architecture of speech production.Matthew Goldrick, Joseph Keshet, Erin Gustafson, Jordana Heller & Jeremy Needle - 2016 - Cognition 149 (C):31-39.
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  • Effects of language experience on domain-general perceptual strategies.Kyle Jasmin, Hui Sun & Adam T. Tierney - 2021 - Cognition 206 (C):104481.
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  • Infant directed speech and the development of speech perception: Enhancing development or an unintended consequence?Bob McMurray, Kristine A. Kovack-Lesh, Dresden Goodwin & William McEchron - 2013 - Cognition 129 (2):362-378.
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  • Evidence for Implicit Learning in Syntactic Comprehension.Alex B. Fine & T. Florian Jaeger - 2013 - Cognitive Science 37 (3):578-591.
    This study provides evidence for implicit learning in syntactic comprehension. By reanalyzing data from a syntactic priming experiment (Thothathiri & Snedeker, 2008), we find that the error signal associated with a syntactic prime influences comprehenders' subsequent syntactic expectations. This follows directly from error‐based implicit learning accounts of syntactic priming, but it is unexpected under accounts that consider syntactic priming a consequence of temporary increases in base‐level activation. More generally, the results raise questions about the principles underlying the maintenance of implicit (...)
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  • Auditory precision hypothesis-L2: Dimension-specific relationships between auditory processing and second language segmental learning.Kazuya Saito, Magdalena Kachlicka, Yui Suzukida, Katya Petrova, Bradford J. Lee & Adam Tierney - 2022 - Cognition 229 (C):105236.
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  • Exposure to multiple accents supports infants’ understanding of novel accents.Christine E. Potter & Jenny R. Saffran - 2017 - Cognition 166 (C):67-72.
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  • 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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  • (1 other version)What Are You Waiting For? Real‐Time Integration of Cues for Fricatives Suggests Encapsulated Auditory Memory.Marcus E. Galle, Jamie Klein-Packard, Kayleen Schreiber & Bob McMurray - 2019 - Cognitive Science 43 (1):e12700.
    Speech unfolds over time, and the cues for even a single phoneme are rarely available simultaneously. Consequently, to recognize a single phoneme, listeners must integrate material over several hundred milliseconds. Prior work contrasts two accounts: (a) a memory buffer account in which listeners accumulate auditory information in memory and only access higher level representations (i.e., lexical representations) when sufficient information has arrived; and (b) an immediate integration scheme in which lexical representations can be partially activated on the basis of early (...)
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  • Object labeling influences infant phonetic learning and generalization.H. Henny Yeung & Thierry Nazzi - 2014 - Cognition 132 (2):151-163.
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