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Phonological Contrast and Conflict in Dutch Vowels: Neurobiological and Psycholinguistic Evidence from Children and Adults ...
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"Nous l'avons conquise cette langue française [.], nous l'avons habitée" : la prononciation du français en Martinique : une étude de perception
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Using acoustic distance and acoustic absement to quantify lexical competition
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Abstract:
Using phonological neighborhood density has been a common method to quantify lexical competition. It is useful and convenient but has shortcomings that are worth reconsidering. The present study quantifies the effects of lexical competition during spoken word recognition using acoustic distance and acoustic absement rather than phonological neighborhood density. The indication of a word's lexical competition is given by what is termed to be its acoustic distinctiveness, which is taken as its average acoustic absement to all words in the lexicon. A variety of acoustic representations for items in the lexicon are analyzed. Statistical modeling shows that acoustic distinctiveness has a similar effect trend as that of phonological neighborhood density. Additionally, acoustic distinctiveness consistently increases model fitness more than phonological neighborhood density regardless of which kind of acoustic representation is used. However, acoustic distinctiveness does not seem to explain all of the same things as phonological neighborhood density. The different areas that these two predictors explain are discussed in addition to the potential theoretical implications of the usefulness of acoustic distinctiveness in the models. The present paper concludes with some reasons why a researcher may want to use acoustic distinctiveness over phonological neighborhood density in future experiments.
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Keyword:
acoustics; cognitive science; energy efficiency; gasoline; phonetics; random access memory; speech perception; speech processing systems; speech recognition; time series analysis
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URL: https://doi.org/10.7939/r3-fj0r-6j02 https://era.library.ualberta.ca/items/b989ee11-10b5-4512-b794-fd959e1e1053
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Language modality influences risk perception: Innovations read well but sound even better
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The role of changes in the segmentation of narrated events: looking at the sign languages ; O papel das mudanças na segmentação de eventos narrados : um olhar para as línguas de sinais
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In: Domínios de Lingu@gem; Vol. 16 No. 1 (2022): Número Atemático; 255-297 ; Domínios de Lingu@gem; v. 16 n. 1 (2022): Número Atemático; 255-297 ; 1980-5799 (2022)
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"How's the wife?": Pragmatic reasoning in spousal reference
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In the Eyes of the Beholder: Perception of Colorblind Ideology Depends on the Identities of Both Endorser and Perceiver
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Neural Correlates of Visual Stimulus Encoding and Verbal Working Memory Differ between Cochlear Implant users and Normal-hearing Controls
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Electrophysiological Correlates of Subjective Cognitive Demand in Cochlear Implant Users during Listening in Noise
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Temporal cognition: subjective time and its connection with memory in frontotemporal dementia
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Liu, Lulu. - : The University of Sydney, 2022. : Faculty of Science, School of Psychology, 2022
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Two Sides of Intelligibility: The Practice and Perception of Performed Accents Onstage
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The perception, production and the effect of explicit instruction in L2 English and Spanish vowels in foreign language (FL) adult learners
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FACE MASKS AND SPEECH PERCEPTION: EMOTIONS AND INTELLIGIBILITY PERCEIVED BY MONOLINGUAL AND BILINGUAL SPEAKERS
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In: Theses and Dissertations--Linguistics (2022)
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Linguistic Complexity and Planning Effects on Word Duration in Hindi Read Aloud Speech
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Detection and Recognition of Asynchronous Auditory/Visual Speech: Effects of Age, Hearing Loss, and Talker Accent
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The transition of online into limited English learning-teaching in the rural area context
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In: Journal of Applied Linguistics and Literature, Vol 7, Iss 1, Pp 120-135 (2022) (2022)
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Increased connectivity among sensory and motor regions during visual and audiovisual speech perception
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In: Open Access Publications (2022)
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Combining Bayesian and AI approaches for Autonomous Driving
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In: IROS 2021 - IEEE/RSJ International Conference on Intelligent Robots and Systems - Workshop "Perception and Navigation for Autonomous Robotics in Unstructured and Dynamic Environments" ; https://hal.inria.fr/hal-03518232 ; IROS 2021 - IEEE/RSJ International Conference on Intelligent Robots and Systems - Workshop "Perception and Navigation for Autonomous Robotics in Unstructured and Dynamic Environments", Sep 2021, Prague, Czech Republic (2021)
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