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dc.contributor.authorvan Heerden, Charl
dc.contributor.authorDavel, Marelie H.
dc.contributor.authorBarnard, Etienne
dc.date.accessioned2018-03-05T11:52:29Z
dc.date.available2018-03-05T11:52:29Z
dc.date.issued2014
dc.identifier.citationCharl van Heerden, Marelie Davel and Etienne Barnard, “Performance analysis of a multilingual directory enquiries application”, in Proc. Annual Symp. Pattern Recognition Association of South Africa (PRASA), pp 258-263, Cape Town, South Africa, 2014. [http://engineering.nwu.ac.za/multilingual-speech-technologies-must/publications]en_US
dc.identifier.urihttps://www.researchgate.net/publication/281271561_Performance_analysis_of_a_multilingual_directory_enquiries_application
dc.identifier.urihttp://hdl.handle.net/10394/26500
dc.description.abstractIn a multilingual society such as South Africa, a practical directory enquiries (DE) application should be able to serve users from various language backgrounds with information relating to names in various languages: a difficult task for automated speech recognition-based systems to perform. We describe the implementation of such a DE application (a ‘Municipality Hotline’) and evaluate its performance, focussing on its usability by callers from various linguistic backgrounds.en_US
dc.description.sponsorshipThis research was co-sponsored by the Department of Arts and Culture of the Republic of South Africa, Molo Innovations, IntSyst Labs and the Technology Innovation Agency. We would also like to thank the rest of the SADE application team (Derik Thirion, Anina Lambrechts, Aditi Sharma and Willem Basson) for their various contributions to the development and evaluation of this system.en_US
dc.language.isoenen_US
dc.publisherPattern Recognition Association of South Africa and Mechatronics International Conferenceen_US
dc.subjectPerformance analysisen_US
dc.subjectMultilingual directoryen_US
dc.subjectSpeech recognitionen_US
dc.titlePerformance analysis of a multilingual directory enquiries applicationen_US
dc.typePresentationen_US


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