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dc.contributor.advisor Manamela, M.J.D. Nkosi, Mpho Caselinah
dc.contributor.other Gasela, N. 2013-12-09T10:02:57Z 2013-12-09T10:02:57Z 2012 2012
dc.description Thesis (M.Sc. (Computer Science)) --University of Limpopo, 2012 en_US
dc.description.abstract Pronunciation dictionaries or lexicons play an important role in guiding the predictive powers of an Automatic Speech Recognition (ASR) system. As the use of automatic speech recognition systems increases, there is a need for the development of dictionaries that cover a large number of inflected word forms to enhance the performance of ASR systems. The main purpose of this study is to investigate the contribution of the morphological approach to creating a more comprehensive and broadly representative Northern Sotho pronunciation dictionary for Automatic Speech Recognition systems. The Northern Sotho verbs together with morphological rules are used to generate more valid inflected word forms in the Northern Sotho language for the creation of a pronunciation dictionary. The pronunciation dictionary is developed using the Dictionary Maker tool. The Hidden Markov Model Toolkit is used to develop a simple ASR system in order to evaluate the performance of the ASR system when using the created pronunciation dictionary. en_US
dc.format.extent xii, 63 leaves en_US
dc.language.iso en en_US
dc.publisher University of Limpopo (Turfloop Campus) en_US
dc.relation.requires PDF en_US
dc.subject Pronunciation dictionary en_US
dc.subject Automatic speech recognition en_US
dc.subject.ddc 005.133 en_US
dc.subject.lcsh Computational linguistics en_US
dc.subject.lcsh Electronic dictionaries en_US
dc.title Creation of a pronunciation dictionary for automatic speech recognition : a morphological approach en_US
dc.type Thesis en_US

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