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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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The role of production abilities in the perception of consonant category in infants
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In: ISSN: 1363-755X ; EISSN: 1467-7687 ; Developmental Science ; https://hal.archives-ouvertes.fr/hal-02075827 ; Developmental Science, Wiley, 2019, 22 (6), pp.e12830. ⟨10.1111/desc.12830⟩ ; https://onlinelibrary.wiley.com/doi/abs/10.1111/desc.12830 (2019)
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Assessing the representation of phonological rules by a production study of non-words in Coratino
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In: ISSN: 0031-8388 ; EISSN: 1423-0321 ; Phonetica ; https://hal.archives-ouvertes.fr/hal-01894141 ; Phonetica, Karger, 2019, ⟨10.1159/000504452⟩ (2019)
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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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Auditory and Audiovisual Close-shadowing in Post-Lingually Deaf Cochlear-Implanted Patients and Normal-Hearing Elderly Adults
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In: ISSN: 0196-0202 ; Ear and Hearing ; https://hal.archives-ouvertes.fr/hal-01546756 ; Ear and Hearing, Lippincott, Williams & Wilkins, 2018, 39 (1), pp.139-149. ⟨10.1097/AUD.0000000000000474⟩ (2018)
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On the phonological processing of two French varieties
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In: LabPhon 2018 - 16th Conference on Laboratory Phonology (LabPhon16) ; https://hal.archives-ouvertes.fr/hal-01864058 ; LabPhon 2018 - 16th Conference on Laboratory Phonology (LabPhon16), Jun 2018, Lisbonne, Portugal (2018)
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Vowel Reduction in Coratino (South Italy): Phonological and Phonetic Perspectives
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In: ISSN: 0031-8388 ; EISSN: 1423-0321 ; Phonetica ; https://hal.archives-ouvertes.fr/hal-01864049 ; Phonetica, Karger, 2018, ⟨10.1159/000490947⟩ (2018)
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Could elements in ET be articulatory-acoustic rather than solely acoustic? Arguments from phonetics and phonology
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In: Elements ; https://hal.archives-ouvertes.fr/hal-01864060 ; Elements, Jun 2018, Nantes, France (2018)
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Origins of Human Language: Continuities and Discontinuities with Nonhuman Primates
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In: https://hal.archives-ouvertes.fr/hal-02435855 ; Peter Lang Publishing, 368 p., 2017, Speech Production and Perception, 978-3-631-73808-5. ⟨10.3726/b12405⟩ ; https://doi.org/10.3726/b12405 (2017)
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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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| 11 |
Perceptual abilities in relation with motor development during the first year of life
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In: WILD 2015 - 2nd Workshop on Infant Language Development ; https://hal.archives-ouvertes.fr/hal-01301013 ; WILD 2015 - 2nd Workshop on Infant Language Development, Jun 2015, Stockholm, Sweden (2015)
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| 12 |
On the cognitive nature of speech sound systems
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In: ISSN: 0095-4470 ; EISSN: 1095-8576 ; Journal of Phonetics ; https://hal.archives-ouvertes.fr/hal-01222752 ; Journal of Phonetics, Elsevier, 2015, Special Issue : "On the cognitive nature of speech sound systems", 53, pp.1-175. ⟨10.1016/j.wocn.2015.09.008⟩ (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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| 14 |
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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Abstract:
International audience ; It is widely accepted that motor and auditory processes interact in speech perception, but little is known about the functional role motor processes play in the development of speech perception. To address this question we consider a Bayesian model of speech perception development based on three sets of variables: motor representations M, sensory representations S and objects O (e.g. phonological units such as phonemes). The model comprises two internal branches. Firstly, an auditory identification sub-system connects S and O. Secondly, a motor sub-system connecting M and O and a sensori-motor model connecting M and S can be combined to provide “motor identification” of sounds S, from S to M and from M to O, in an analysis-by-synthesis process. Development is modeled as a learning process in which a master iteratively produces a sensory percept S associated with an object O. The learning agent updates its auditory sub-system by observing S and O. Update of the two other branches is more complex and based on an imitation phase. The learning agent estimates a likely motor action M from input S, produces this M and observes the resulting sound S’. M, S’ and O are used to update both the motor sub-system (M, O) and the sensori-motor model (S, M). We show that the auditory identification sub-system learns rapidly, and becomes efficient for stimuli close to those provided by the master, although it generalizes poorly. By contrast, the two other sub-systems evolve more slowly, and in consequence the motor identification system performs less accurately. However, motor identification happens to have captured more variable situations during learning, and generalizes better (e.g. in noise). This is in line with a developmental schedule in which auditory processing is mature before motor knowledge (Kuhl et al, 2008) and is exploited by infants after 11 months of age for analysis-by-synthesis of unusual speech stimuli (Kuhl et al., 2014).
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Keyword:
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; [SCCO.COMP]Cognitive science/Computer science
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URL: https://hal.archives-ouvertes.fr/hal-01202417
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A Bayesian framework for speech motor control
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In: Workshop: Probabilistic Inference and the Brain ; https://hal.archives-ouvertes.fr/hal-01297922 ; Workshop: Probabilistic Inference and the Brain, Stanislas Dehaene (CEA, Inserm, Collège de France - France) Alain Destexhe (EITN CNRS-UNIC - France) Wolfgang Maass (Graz University - Austria) Florent Meyniel (CEA - France), Sep 2015, Paris, France ; http://pibrainconf.sciencesconf.org/ (2015)
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A Bayesian framework for speech motor control
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In: Progress in Motor Control X ; https://hal.archives-ouvertes.fr/hal-01202865 ; Progress in Motor Control X, Jozsef Laczko, Jul 2015, Budapest, Hungary (2015)
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A possible neurophysiological correlate of audiovisual binding and unbinding in speech perception
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In: EISSN: 1664-1078 ; Frontiers in Psychology ; https://hal.archives-ouvertes.fr/hal-01220444 ; Frontiers in Psychology, Frontiers, 2014, Multisensory and sensorimotor interactions in speech perception, 5, ⟨10.3389/fpsyg.2014.01340⟩ (2014)
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| 18 |
Shared and distinct neural correlates of vowel perception and production
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In: ISSN: 0911-6044 ; Journal of Neurolinguistics ; https://hal.archives-ouvertes.fr/hal-00841585 ; Journal of Neurolinguistics, Elsevier, 2013, 26 (3), pp.384-408. ⟨10.1016/j.jneuroling.2012.11.003⟩ (2013)
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Integrate, yes, but what and how? A computational approach of perceptuo-motor fusion in speech perception
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In: ISSN: 0140-525X ; EISSN: 1469-1825 ; Behavioral and Brain Sciences ; https://hal.archives-ouvertes.fr/hal-00765973 ; Behavioral and Brain Sciences, Cambridge University Press (CUP), 2013, 36 (4), pp.36-37 (2013)
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A computational model of perceptuo-motor processing in speech perception: learning to imitate and categorize synthetic CV syllables
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In: Proceedings of Interspeech ; Interspeech 2013 - 14th Annual Conference of the International Speech Communication Association ; https://hal.archives-ouvertes.fr/hal-00827885 ; Interspeech 2013 - 14th Annual Conference of the International Speech Communication Association, Aug 2013, Lyon, France. pp.2797-2801 (2013)
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