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dc.contributor.authorHuckvale, Men
dc.contributor.authorHoward, ISen
dc.contributor.authorFagel, Sen
dc.date.accessioned2019-10-22T12:39:17Z
dc.date.available2019-10-22T12:39:17Z
dc.date.issued2009-11-26en
dc.identifier.urihttp://hdl.handle.net/10026.1/15029
dc.description.abstract

Recent research into the acquisition of spoken language has stressed the importance of learning through embodied linguistic interaction with caregivers rather than through passive observation. However the necessity of interaction makes experimental work into the simulation of infant speech acquisition difficult because of the technical complexity of building real-time embodied systems. In this paper we present KLAIR: a software toolkit for building simulations of spoken language acquisition through interactions with a virtual infant. The main part of KLAIR is a sensori-motor server that supplies a client machine learning application with a virtual infant on screen that can see, hear and speak. By encapsulating the real-time complexities of audio and video processing within a server that will run on a modern PC, we hope that KLAIR will encourage and facilitate more experimental research into spoken language acquisition through interaction. Copyright © 2009 ISCA.

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dc.format.extent696 - 699en
dc.language.isoenen
dc.titleKLAIR: A virtual infant for spoken language acquisition researchen
dc.typeConference Contribution
plymouth.publication-statusPublisheden
plymouth.journalProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECHen
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/00 Groups by role
plymouth.organisational-group/Plymouth/00 Groups by role/Academics
plymouth.organisational-group/Plymouth/Faculty of Health: Medicine, Dentistry and Human Sciences
plymouth.organisational-group/Plymouth/Faculty of Health: Medicine, Dentistry and Human Sciences/School of Psychology
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
dc.identifier.eissn1990-9772en
dc.rights.embargoperiodNot knownen
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.typeConference Paper/Proceeding/Abstracten


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