title: Speech Development by Imitation
creator: Breidegard, Bjorn
creator: Balkenius, Christian
subject: Neural Nets
subject: Artificial Intelligence
subject: Speech
description: The Double Cone Model (DCM) is a model of how the brain transforms sensory input to motor commands through successive stages of data compression and expansion. We have tested a subset of the DCM on speech recognition, production and imitation. The experiments show that the DCM is a good candidate for an artificial speech processing system that can develop autonomously. We show that the DCM can learn a repertoire of speech sounds by listening to speech input. It is also able to link the individual elements of speech to sequences that can be recognized or reproduced, thus allowing the system to imitate spoken language.
publisher: Lund University Cognitive Studies
contributor: Prince, Christopher G.
contributor: Berthouze, Luc
contributor: Kozima, Hideki
contributor: Bullock, Daniel
contributor: Stojanov, Georgi
contributor: Balkenius, Christian
date: 2003
type: Conference Paper
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/3328/1/Breidegard.pdf
identifier:   Breidegard, Bjorn and Balkenius, Christian  (2003) Speech Development by Imitation.  [Conference Paper]     
relation: http://cogprints.org/3328/