Emergence of Vowel Systems Through Self-Organisation

This paper describes a model for explaining the emergence and the universal structural tendencies of vowel systems. Both are considered as the result of self-organisation in a population of language users. The language users try to imitate each other and to learn each other’s vowel systems as well as possible under constraints of production and perception, while at the same time maximising the number of available speech sounds. It is shown through computer simulations that coherent and natural sound systems can indeed emerge in populations of artificial agents. It is also shown that the mechanism that is responsible for the emergence of sound systems can be used for learning existing sound systems as well. Finally, it is argued that the simulation of agents that can only produce isolated vowels is not enough. More complex utterances are needed for other interesting universals of sound systems and for explaining realistic sound change. Work in progress on implementing agents that can produce and perceive complex utterances is reported.

[1]  G. Lakoff,et al.  Women, Fire, and Dangerous Things: What Categories Reveal about the Mind , 1988 .

[2]  E. E. David,et al.  Human communication : a unified view , 1972 .

[3]  Noam Chomsky,et al.  The Sound Pattern of English , 1968 .

[4]  Louis Goldstein,et al.  Dynamics and articulatory phonology , 1996 .

[5]  P. Mermelstein Articulatory model for the study of speech production. , 1973, The Journal of the Acoustical Society of America.

[6]  A. Liberman,et al.  Some Experiments on the Perception of Synthetic Speech Sounds , 1952 .

[7]  René Carré,et al.  Vowel-Vowel Production: The Distinctive Region Model (DRM) and Vowel Harmony , 1995 .

[8]  Marilyn M. Vihman,et al.  Phonological Development , 2014 .

[9]  Luc Steels,et al.  Synthesising the origins of language and meaning using co-evolution, self-organisation and level formation , 1998 .

[10]  A. Liberman,et al.  The role of consonant-vowel transitions in the perception of the stop and nasal consonants. , 1954 .

[11]  Bart de Boer,et al.  Self Organisation in Vowel Systems through Imitation , 1997, SIGMORPHON@EACL.

[12]  Roman Jakobson,et al.  Fundamentals of Language , 1957 .

[13]  Shinji Maeda,et al.  Compensatory Articulation During Speech: Evidence from the Analysis and Synthesis of Vocal-Tract Shapes Using an Articulatory Model , 1990 .

[14]  Jc Shepherdson,et al.  Machine Intelligence 15 , 1998 .

[15]  P. Trudgill Sociolinguistics: An Introduction to Language and Society , 1975 .

[16]  Jordi Robert-Ribes Modèles d'intégration audiovisuelle de signaux linguistiques : de la perception humaine a la reconnaissance automatique des voyelles , 1995 .

[17]  Christian Abry,et al.  Major trends in vowel system inventories , 1997 .

[18]  Comrie Bernard Language Universals and Linguistic Typology , 1982 .

[19]  Ian Maddieson,et al.  Patterns of sounds , 1986 .

[20]  Nathalie Vallée Systèmes vocaliques : de la typologie aux prédictions , 1994 .

[21]  James R. Hurford,et al.  Learning, Culture and Evolution in the Origin of Linguistic Constraints , 1997 .

[22]  Ahmed-Réda Berrah Evolution d'une société artificielle d'agents de parole : un modèle pour l'émergence des structures phonétiques. (Evolution of an artificial society of speech agents : a model for the emergence of phonetic structures) , 1998 .

[23]  Luc Steels,et al.  The synthetic modeling of language origins , 1997 .

[24]  Jean-Luc Schwartz,et al.  The prediction of vowel systems: perceptual contrast and stability , 1995 .

[25]  B. Lindblom,et al.  Numerical Simulation of Vowel Quality Systems: The Role of Perceptual Contrast , 1972 .

[26]  Bart de Boer,et al.  A realistic model of emergent phonology , 1998 .

[27]  Luc Steels,et al.  The Spontaneous Self-organization of an Adaptive Language , 1995, Machine Intelligence 15.

[28]  P. Ladefoged,et al.  The sounds of the world's languages , 1996 .