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dc.contributor.authorWester, Mirjam
dc.contributor.authorKessens, Judith M
dc.contributor.authorStrik, Helmer
dc.coverage.spatial4en
dc.date.accessioned2006-05-11T16:53:26Z
dc.date.available2006-05-11T16:53:26Z
dc.date.issued1998-12
dc.identifier.citationIn ICSLP-1998, paper 0371.en
dc.identifier.urihttp://www.isca-speech.org/archive/icslp_1998/index.html
dc.identifier.urihttp://hdl.handle.net/1842/1017
dc.description.abstractThis paper describes how the performance of a continuous speech recognizer for Dutch has been improved by modeling pronunciation variation. We used three methods to model pronunciation variation. First, within-word variation was dealt with. Phonological rules were applied to the words in the lexicon, thus automatically generating pronunciation variants. Secondly, cross-word pronunciation variation was modeled using two different approaches. The first approach was to model cross-word processes by adding the variants as separate words to the lexicon and in the second approach this was done by using multi-words. For each of the methods, recognition experiments were carried out. A significant improvement was found for modeling within-word variation. Furthermore, modeling cross-word processes using multi-words leads to significantly better results than modeling them using separate words in the lexicon.en
dc.format.extent119403 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherInternational Speech Communication Associationen
dc.titleModeling Pronunciation Variation for a Dutch CSR: Testing Three Methodsen
dc.typeConference Paperen


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