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Repeat after me: Self-supervised learning of acoustic-to-articulatory mapping by vocal imitation ...
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COSMO-Onset: A Neurally-Inspired Computational Model of Spoken Word Recognition, Combining Top-Down Prediction and Bottom-Up Detection of Syllabic Onsets
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In: ISSN: 1662-5137 ; Frontiers in Systems Neuroscience ; https://hal.archives-ouvertes.fr/hal-03318691 ; Frontiers in Systems Neuroscience, Frontiers, 2021, 15, pp.653975. ⟨10.3389/fnsys.2021.653975⟩ (2021)
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COSMO-Onset: A Neurally-Inspired Computational Model of Spoken Word Recognition, Combining Top-Down Prediction and Bottom-Up Detection of Syllabic Onsets
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In: Front Syst Neurosci (2021)
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Simulating length and frequency effects across multiple tasks with the Bayesian model BRAID-Phon
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In: 42nd Annual Virtual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-02913396 ; 42nd Annual Virtual Meeting of the Cognitive Science Society, Jul 2020, Toronto, Canada. pp.3158-3163 ; https://cognitivesciencesociety.org/cogsci-2020/ (2020)
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Towards an articulatory-driven neural vocoder for speech synthesis
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In: ISSP 2020 - 12th International Seminar on Speech Production ; https://hal.archives-ouvertes.fr/hal-03184762 ; ISSP 2020 - 12th International Seminar on Speech Production, Dec 2020, Providence (virtual), United States (2020)
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Speakers are able to categorize vowels based on tongue somatosensation
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In: Proc Natl Acad Sci U S A (2020)
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Modeling the length effect for words in lexical decision: The role of visual attention
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In: ISSN: 0042-6989 ; EISSN: 0042-6989 ; Vision Research ; https://hal.archives-ouvertes.fr/hal-02097508 ; Vision Research, Elsevier, 2019 (2019)
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Abstract:
International audience ; The word length effect in Lexical Decision (LD) has been studied in many behavioral experiments but no computational models has yet simulated this effect. We use a new Bayesian model of visual word recognition, the BRAID model, that simulates expert readers performance. BRAID integrates an attentional component modeled by a Gaus-sian probability distribution, a mechanism of lateral interference between adjacent letters and an acuity gradient, but no phonological component. We explored the role of visual attention on the word length effect using 1,200 French words from 4 to 11 letters. A series of five simulations was carried out to assess (a) the impact of a single attentional focus versus multiple shifts of attention on the word length effect and (b) how this effect is modulated by variations in the distribution of attention. Results show that the model successfully simulates the word length effect reported for humans in the French Lexicon Project when allowing multiple shifts of attention for longer words. The magnitude and direction of the effect can be modulated depending on the use of a uniform or narrow distribution of attention. The present study provides evidence that visual attention is critical for the recognition of single words and that a narrowing of the attention distribution might account for the exaggerated length effect reported in some reading disorders.
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Keyword:
[SCCO]Cognitive science; [SHS.PSY]Humanities and Social Sciences/Psychology; Bayesian modeling; Lexical decision; Reading; Visual attention; Word length effect
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URL: https://hal.archives-ouvertes.fr/hal-02097508/document https://hal.archives-ouvertes.fr/hal-02097508 https://hal.archives-ouvertes.fr/hal-02097508/file/Ginestet_Vision_Research_2019_author_version.pdf
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Computer simulations of coupled idiosyncrasies in speech perception and speech production with COSMO, a perceptuo-motor Bayesian model of speech communication
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In: ISSN: 1932-6203 ; EISSN: 1932-6203 ; PLoS ONE ; https://hal.sorbonne-universite.fr/hal-01994708 ; PLoS ONE, Public Library of Science, 2019, 14 (1), pp.e0210302. ⟨10.1371/journal.pone.0210302⟩ (2019)
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Modeling Word Length Effect in Lexical Decision: The Role of Visual Attention
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In: Annual Meeting of the Psychonomic Society ; https://hal.archives-ouvertes.fr/hal-02004148 ; Annual Meeting of the Psychonomic Society, Nov 2018, New-Orleans, United States. pp.80-81, 2018 (2018)
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Bayesian modeling of lexical knowledge acquisition in BRAID, a visual word recognition model
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In: Conference of the Society of Scientific Studies of Reading (SSSR) ; https://hal.archives-ouvertes.fr/hal-02004280 ; Conference of the Society of Scientific Studies of Reading (SSSR), Jul 2018, Brighton, United Kingdom (2018)
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Reconciling opposite neighborhood frequency effects in lexical decision: Evidence from a novel probabilistic model of visual word recognition
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In: Conference of the Society of Scientific Studies of Reading (SSSR) ; https://hal.archives-ouvertes.fr/hal-02004264 ; Conference of the Society of Scientific Studies of Reading (SSSR), Jul 2018, Brighton, United Kingdom (2018)
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Reconciling opposite neighborhood frequency effects in lexical decision: Evidence from a novel probabilistic model of visual word recognition
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In: Proceedings of the 40th Annual Conference of the Cognitive Science Society ; 40th Annual Conference of the Cognitive Science Society (CogSci 2018) ; https://hal.archives-ouvertes.fr/hal-01850020 ; 40th Annual Conference of the Cognitive Science Society (CogSci 2018), Jul 2018, Madison, WI, United States. pp.2238-2243 ; http://www.cognitivesciencesociety.org/conference/cogsci-2018/ (2018)
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COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning
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In: Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-02002373 ; Interspeech 2018 - 19th Annual Conference of the International Speech Communication Association, Sep 2018, Hyderabad, India. pp.3786-3790, ⟨10.21437/interspeech.2018-73⟩ (2018)
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Reanalyzing neurocognitive data on the role of the motor system in speech perception within COSMO, a Bayesian perceptuo-motor model of speech communication
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Enhancing reading performance through action video games: the role of visual attention span
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In: ISSN: 2045-2322 ; EISSN: 2045-2322 ; Scientific Reports ; https://hal.archives-ouvertes.fr/hal-01654841 ; Scientific Reports, Nature Publishing Group, 2017, 7 (1), pp.14563. ⟨10.1038/s41598-017-15119-9⟩ (2017)
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Les modèles computationnels de lecture
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In: Traité de neurolinguistique ; https://hal.archives-ouvertes.fr/hal-01420329 ; Traité de neurolinguistique, pp.167-182, 2016 (2016)
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COSMO (“Communicating about Objects using Sensory–Motor Operations”): A Bayesian modeling framework for studying speech communication and the emergence of phonological systems
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In: ISSN: 0095-4470 ; EISSN: 1095-8576 ; Journal of Phonetics ; https://hal.archives-ouvertes.fr/hal-01230175 ; Journal of Phonetics, Elsevier, 2015, 53, pp.5-41. ⟨10.1016/j.wocn.2015.06.001⟩ ; http://www.sciencedirect.com/science/article/pii/S0095447015000352 (2015)
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COSMO, a Bayesian computational model of speech communication: Assessing the role of sensory vs. motor knowledge in speech perception
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In: 5th International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob) ; https://hal.archives-ouvertes.fr/hal-02004350 ; 5th International Conference on Development and Learning and on Epigenetic Robotics (ICDL-Epirob), Aug 2015, Providence, RI, United States (2015)
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Modeling concurrent development of speech perception and production in a Bayesian framework
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In: WILD 2015 - 2nd Workshop on Infant Language Development ; https://hal.archives-ouvertes.fr/hal-01202417 ; WILD 2015 - 2nd Workshop on Infant Language Development, Jun 2015, Stockholm, Sweden (2015)
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Bayesian Algorithmic Modeling in Cognitive Science ; Modélisation bayésienne algorithmique en science cognitive
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In: https://hal.archives-ouvertes.fr/tel-01237127 ; Computer science. Université Grenoble Alpes, 2015 (2015)
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