creators_name: Breidegard, Bjorn creators_name: Balkenius, Christian editors_name: Prince, Christopher G. editors_name: Berthouze, Luc editors_name: Kozima, Hideki editors_name: Bullock, Daniel editors_name: Stojanov, Georgi editors_name: Balkenius, Christian type: confpaper datestamp: 2004-02-12 lastmod: 2011-03-11 08:55:25 metadata_visibility: show title: Speech Development by Imitation ispublished: pub subjects: comp-sci-neural-nets subjects: comp-sci-art-intel subjects: comp-sci-speech full_text_status: public keywords: double cone model, speech imitation, autonomous development 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. date: 2003 date_type: published volume: 101 publisher: Lund University Cognitive Studies pagerange: 57-64 refereed: TRUE citation: Breidegard, Bjorn and Balkenius, Christian (2003) Speech Development by Imitation. [Conference Paper] document_url: http://cogprints.org/3328/1/Breidegard.pdf