The Self-Organization of Speech Sounds - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Journal of Theoretical Biology Year : 2005

The Self-Organization of Speech Sounds

Pierre-Yves Oudeyer


The speech code is a vehicle of language: it defines a set of forms used by a community to carry information. Such a code is necessary to support the linguistic interactions that allow humans to communicate. How then may a speech code be formed prior to the existence of linguistic interactions? Moreover, the human speech code is discrete and compositional, shared by all the individuals of a community but different across communities, and phoneme inventories are characterized by statistical regularities. How can a speech code with these properties form? We try to approach these questions in the paper, using the “methodology of the artificial”. We build a society of artificial agents, and detail a mechanism that shows the formation of a discrete speech code without pre-supposing the existence of linguistic capacities or of coordinated interactions. The mechanism is based on a low-level model of sensory-motor interactions. We show that the integration of certain very simple and non language-specific neural devices leads to the formation of a speech code that has properties similar to the human speech code. This result relies on the self-organizing properties of a generic coupling between perception and production within agents, and on the interactions between agents. The artificial system helps us to develop better intuitions on how speech might have appeared, by showing how self-organization might have helped natural selection to find speech.
Fichier principal
Vignette du fichier
oudeyerJTB05.pdf (1.86 Mo) Télécharger le fichier

Dates and versions

inria-00001176 , version 1 (29-03-2006)


  • HAL Id : inria-00001176 , version 1


Pierre-Yves Oudeyer. The Self-Organization of Speech Sounds. Journal of Theoretical Biology, 2005. ⟨inria-00001176⟩
48 View
118 Download


Gmail Facebook X LinkedIn More