SPECIES: an evolutionary model for the emergence of phonetic structures in an artificial society of speech agents

Ahmed-Reda Berrah 1 Rafael Laboissière 2
1 CORTEX - Neuromimetic intelligence
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : This paper addresses the emergence of a common phonetic code in a society of communicating speech agents using evolutionary techniques. Predictions for the large vowel systems of the world's languages using the Maximum Use of Available distinctive Features (MUAF) principle are discussed. Simulations of the use of supplementary phonetic features in large vowel systems are presented. These experimental results show how simple local rules of interaction between speaking agents are sufficient to explain some of the universal characteristics of the phonological structure of the world's languages.
Type de document :
Communication dans un congrès
Dario Floreano, Jean-Daniel Nicoud, Francesco Mondada. 5th European Conference on Artificial Life - ECAl'99, 1999, Lausanne, Suisse, Springer-Verlag, 1674, pp.674-678, 1999, Lecture Notes in Computer Science
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Soumis le : mardi 26 septembre 2006 - 08:40:47
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

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  • HAL Id : inria-00098952, version 1

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Ahmed-Reda Berrah, Rafael Laboissière. SPECIES: an evolutionary model for the emergence of phonetic structures in an artificial society of speech agents. Dario Floreano, Jean-Daniel Nicoud, Francesco Mondada. 5th European Conference on Artificial Life - ECAl'99, 1999, Lausanne, Suisse, Springer-Verlag, 1674, pp.674-678, 1999, Lecture Notes in Computer Science. 〈inria-00098952〉

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