From Form to Formation of Phonetic Structures: An evolutionary computing perspective
Résumé
The purpose of this paper is to explain how evolutionary computing and machine learning open new perspectives in Phonetics and Speech Science. Using these techniques, it is possible to simulate the emergence and the evolution of a common language in a society of speech robots. Experimental results show how simple local rules of interaction between robots may explain some of the universal characteristics of the phonological structure of world's languages. On going work aiming to answer more complex questions, such as language evolution or dialect apparition, is presented.