Improving speech recognition on a mobile robot platform through the use of top-down visual queues

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Show simple item record Ross, Robert O'Donoghue, R. P. S. O'Hare, G. M. P. (Greg M. P.) 2013-08-14T12:11:10Z 2013-08-14T12:11:10Z 2003-08-09
dc.description The 18th International Joint Conference on Artificial Intelligence (IJCAI-03), Acapulco, Mexico, 9-15 August 2003 en
dc.description.abstract In many real-world environments, Automatic Speech Recognition (ASR) technologies fail to provide adequate performance for applications such as human robot dialog. Despite substantial evidence that speech recognition in humans is performed in a top-down as well as bottom-up manner, ASR systems typically fail to capitalize on this, instead relying on a purely statistical, bottom up methodology. In this paper we advocate the use of a knowledge based approach to improving ASR in domains such as mobile robotics. A simple implementation is presented, which uses the visual recognition of objects in a robot's environment to increase the probability that words and sentences related to these objects will be recognized. en
dc.language.iso en en
dc.publisher IJCAI Workshop en
dc.relation.ispartof Proceedings of 18th International Joint Conference on Artificial Intelligence (IJCAI-03), 9th-15th August, Acapulco, Mexico en
dc.subject Automatic Speech Recognition (ASR)
dc.subject Mobile robotics
dc.subject Speech priming model
dc.title Improving speech recognition on a mobile robot platform through the use of top-down visual queues en
dc.type Conference Publication en
dc.internal.availability Full text available en
dc.status Peer reviewed en
dc.neeo.contributor Ross|Robert|aut|
dc.neeo.contributor O'Donoghue|R. P. S.|aut|
dc.neeo.contributor O'Hare|G. M. P. (Greg M. P.)|aut|
dc.description.admin TS 13.08.13 en
dc.internal.rmsid 1246393 2013-07-31T15:59:16Z

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