Performance analysis of a multilingual directory enquiries application
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van Heerden, Charl
Davel, Marelie H.
Barnard, Etienne
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Pattern Recognition Association of South Africa and Mechatronics International Conference
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Abstract
In 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.
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Charl 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]