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Show simple item record Schlunz, Georg I Dlamini, Nkosikhona Tshoane, Alfred Ramunyisi, Ndivhuwo S 2019-07-30T07:02:19Z 2019-07-30T07:02:19Z 2017-11
dc.identifier.citation Schlünz, G.I., Dlamini, N., Tshoane, A. & Ramunyisi, N.S. 2017. Text normalisation in text-to-speech synthesis for South African languages: native number expansion. In: 2017 PRASA-RobMech International Conference, Bloemfontein, Free State, South Africa, 29 November - 1 December 2017 en_US
dc.identifier.isbn 978-1-5386-2313-8
dc.identifier.isbn 978-1-5386-2314-5
dc.identifier.uri DOI: 10.1109/RoboMech.2017.8261153
dc.description The attached pdf contains the accepted version of the published item. For access to the published version, kindly consult en_US
dc.description.abstract Text normalisation in text-to-speech synthesis comprises the segmentation and classification of the incoming text and the subsequent expansion of non-standard words into their standard word, spoken forms. We present a rule-based implementation for the 11 official South African languages that uses native number expansion. We discuss the architecture and performance of the implementation based on examples of cardinal and ordinal numbers, money, dates and times. Although the implementation scores well, it is currently limited to handling non-standard words in isolation. Future work will need to address sentence context in order to normalise the African languages correctly. en_US
dc.language.iso en en_US
dc.publisher IEEE en_US
dc.relation.ispartofseries Workflow;19989
dc.subject Text normalisation en_US
dc.subject Text-to-speech synthesis en_US
dc.subject South African languages en_US
dc.title Text normalisation in text-to-speech synthesis for South African languages: native number expansion en_US
dc.type Presentation en_US

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