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Open challenges in understanding development and evolution of speech forms: The roles of embodied self-organization, motivation and active exploration
In: ISSN: 0095-4470 ; EISSN: 1095-8576 ; Journal of Phonetics ; https://hal.inria.fr/hal-01250777 ; Journal of Phonetics, Elsevier, 2015, 53, pp.5. ⟨10.1016/j.wocn.2015.09.001⟩ ; http://www.sciencedirect.com/science/article/pii/S0095447015000716 (2015)
Abstract: International audience ; This article discusses open scientific challenges for understanding development and evolution of speech forms , as a commentary to Moulin-­Frier et al. (Moulin-­Frier et al., 2015). Based on the analysis of mathematical models of the origins of speech forms, with a focus on their assumptions , we study the fundamental question of how speech can be formed out of non-­‐speech , at both developmental and evolutionary scales. In particular , we emphasize the importance of embodied self-­organization , as well as the role of mechanisms of motivation and active curiosity-­driven exploration in speech formation. Finally , we discuss an evolutionary-­‐developmental perspective of the origins of speech.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation; [SCCO.LING]Cognitive science/Linguistics; [SCCO]Cognitive science; [SHS.INFO]Humanities and Social Sciences/Library and information sciences; [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [SHS.PSY]Humanities and Social Sciences/Psychology; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning; ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing; ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING; active exploration; curiosity; development; evo-devo; evolution; language acquisition; origins of speech forms; phonetics; phonology; self-organization; social reinforcement; speech; speech development
URL: https://hal.inria.fr/hal-01250777/document
https://doi.org/10.1016/j.wocn.2015.09.001
https://hal.inria.fr/hal-01250777
https://hal.inria.fr/hal-01250777/file/OudeyerJPhonetics15.pdf
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2
Early Phonological Predictors of Toddler Language Outcomes ...
Gerhold, Kayla. - : Digital Repository at the University of Maryland, 2015
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3
Putting stress where it belongs: Stress rules for Turkish language learners
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4
Tonal Alignment and Segmental Timing in English-speaking Children
In: Purdue Linguistic Association Symposium (2015)
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Early Phonological Predictors of Toddler Language Outcomes
Gerhold, Kayla. - 2015
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