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Speech Development by Imitation

Breidegard, Bjorn and Balkenius, Christian (2003) Speech Development by Imitation. [Conference Paper]

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Abstract

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.

Item Type:Conference Paper
Keywords:double cone model, speech imitation, autonomous development
Subjects:Computer Science > Neural Nets
Computer Science > Artificial Intelligence
Computer Science > Speech
ID Code:3328
Deposited By:Prince, Dr Christopher G.
Deposited On:12 Feb 2004
Last Modified:11 Mar 2011 08:55

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