Back to Search Start Over

Open challenges in understanding development and evolution of speech forms: The roles of embodied self-organization, motivation and active exploration

Authors :
Pierre-Yves Oudeyer
Flowing Epigenetic Robots and Systems (Flowers)
Inria Bordeaux - Sud-Ouest
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Unité d'Informatique et d'Ingénierie des Systèmes (U2IS)
École Nationale Supérieure de Techniques Avancées (ENSTA Paris)-École Nationale Supérieure de Techniques Avancées (ENSTA Paris)
ERCStarting Grant 240007
European Project: 240007,EC:FP7:ERC,ERC-2009-StG,EXPLORERS(2009)
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)
Source :
Journal of Phonetics, Journal of Phonetics, Elsevier, 2015, 53, pp.5. ⟨10.1016/j.wocn.2015.09.001⟩, Journal of Phonetics, 2015, 53, pp.5. ⟨10.1016/j.wocn.2015.09.001⟩
Publication Year :
2015
Publisher :
Elsevier BV, 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.

Subjects

Subjects :
FOS: Computer and information sciences
speech
[SHS.PSY]Humanities and Social Sciences/Psychology
Language and Linguistics
Machine Learning (cs.LG)
ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.7: Natural Language Processing
[INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]
Computer Science - Computers and Society
[SCCO]Cognitive science
[SHS.LANGUE]Humanities and Social Sciences/Linguistics
media_common
Cognitive science
Computer Science - Computation and Language
evo-devo
Phonology
Phonetics
Language acquisition
Focus (linguistics)
language acquisition
origins of speech forms
social reinforcement
active exploration
speech development
Psychology
Computation and Language (cs.CL)
[INFO.INFO-CC]Computer Science [cs]/Computational Complexity [cs.CC]
curiosity
Linguistics and Language
Computer Science - Artificial Intelligence
[SHS.INFO]Humanities and Social Sciences/Library and information sciences
media_common.quotation_subject
phonetics
Speech and Hearing
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
Computers and Society (cs.CY)
evolution
development
Perspective (graphical)
[SCCO.LING]Cognitive science/Linguistics
self-organization
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE
Computer Science - Learning
phonology
Artificial Intelligence (cs.AI)
ACM: I.: Computing Methodologies/I.6: SIMULATION AND MODELING
Embodied cognition
Evolutionary developmental biology
Curiosity
ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE/I.2.6: Learning

Details

ISSN :
00954470 and 10958576
Volume :
53
Database :
OpenAIRE
Journal :
Journal of Phonetics
Accession number :
edsair.doi.dedup.....995328c0dff52da4d4a36cadacf74ad1
Full Text :
https://doi.org/10.1016/j.wocn.2015.09.001