%A Bjorn Breidegard
%A Christian Balkenius
%T Speech Development by Imitation
%X 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.
%K double cone model, speech imitation, autonomous development
%P 57-64
%E Christopher G. Prince
%E Luc Berthouze
%E Hideki Kozima
%E Daniel Bullock
%E Georgi Stojanov
%E Christian Balkenius
%V 101
%D 2003
%I Lund University Cognitive Studies
%L cogprints3328

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