Author:Modipa, T; Davel, M; De Wet, FebeDate:Oct 2010Automatic speech recognition (ASR) systems are increasingly being developed for under-resourced languages, especially for use in multilingual spoken dialogue systems. We investigate different approaches to the acoustic modelling of Sepedi ...Read more
Author:Pretorius, L; Marais, Laurette; Berg, ADate:Mar 2017The Grammatical Framework (GF) not only offers state of the art grammar-based machine translation support between an increasing number of languages through its so-called Resource Grammar Library, but is also fast becoming a de facto framework ...Read more
Author:Sefara, Tshephisho J; Mokgonyane, TB; Manamela, MJ; Modipa, TIDate:Aug 2019Text-to-speech (TTS) synthesis systems are of benefit towards learning new or foreign languages. These systems are currently available for various major languages but not available for low-resourced languages. Scarcity of these systems may ...Read more
Author:De Waal, A; Barnard, EDate:Nov 2010Topic models explain a collection of documents with a small set of distributions over terms. These distributions over terms define the topics. Topic models ignore the structure of documents and use a bag-of-words approach which relies solely ...Read more
Author:Schlunz, Georg I; Barnard, E; Van Huyssteen, GBDate:Nov 2010One of the goals of text-to-speech (TTS) systems is to produce natural-sounding synthesised speech. Towards this end various natural language processing (NLP) tasks are performed to model the prosodic aspects of the TTS voice. One of the ...Read more
Author:Schlunz, Georg I; Dlamini, Nkosikhona; Kruger, Rynhardt PDate:Sep 2016Text-to-speech synthesis can be an empowering communication tool in the hands of the print-disabled or augmentative and alternative communication user. In an effort to improve the naturalness of synthesised speech – and thus enhance the ...Read more
Author:Daelemans, W; Groenewald, HJ; Van Huyssteen, GBDate:Sep 2009Annotation of training data for machine learning is often a laborious and costly process. In Active Learning (AL), criteria are investigated that allow ordering the unannotated data in such a way that those instances potentially contributing ...Read more
Author:Moodley, Avashlin; Marivate, Vukosi NDate:Nov 2019In election cycles, the political-themed articles published by news providers present a rich source of information about election discourse. Extracting useful themes from a large article corpus manually is infeasible, text mining techniques ...Read more