{"type":"ScholarlyArticle","title":"Improving Speech Recognition on a Mobile Robot Platform through the use of Top-Down Visual Queues","authors":[{"name":"Robert J. Ross","slug":"robert-j-ross","given":"Robert J.","family":"Ross","affiliation":""},{"name":"R. P. S. O'Donoghue","slug":"r-p-s-o-apos-donoghue","given":"R. P. S.","family":"O'Donoghue","affiliation":""},{"name":"Gregory M. P. O'Hare","slug":"gregory-m-p-o-apos-hare","given":"Gregory M. P.","family":"O'Hare","affiliation":""}],"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.","doi":null,"url":"https://ijcai.org/proceedings/2003/271","pdf":"https://ijcai.org/proceedings/2003/0271.pdf","markdown":"https://ijcai.org/proceedings/2003/271.md","bibtex":"https://ijcai.org/proceedings/2003/bibtex/271","volume":{"slug":"2003","title":"Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2003","url":"https://ijcai.org/proceedings/2003/","year":2003,"location":"Acapulco, Mexico","dates":"","editors":"Georg Gottlob","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":271,"pages":{"first":1557,"last":1558},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}