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Browsing Human language technologies by Title

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  • Van Heerden, C; Barnard, E; Davel, M (International Speech Communication Association, 2009-09)
    Spoken dialogue systems (SDSs) have great potential for information access in the developing world. However, the realisation of that potential requires the solution of several challenging problems, including the development ...
  • Botha, L; Meyer, Thomas; Penaloza, R (2018-10)
    Description Logics (DLs) that support uncertainty are not as well studied as their crisp alternatives, thereby limiting their use in real world domains. The Bayesian DL BEL and its extensions have been introduced to deal ...
  • Van Dyk, E; Barnard, E (PRASA 2008, 2008-11)
    We investigate the use of Naive Bayesian classifiers for correlated Gaussian feature spaces and derive error estimates for these classifiers. The error analysis is done by developing an exact expression for the error ...
  • Badenhorst, Jacob AC; Martinus, Laura; De Wet, Febe (2019-01)
    Since the release of the National Centre for Human Language Technology (NCHLT) Speech corpus, very few additional resources for automatic speech recognition (ASR) system development have been created for South Africa’s ...
  • Davel, MH; Barnard, E (PRASA, 2003-11)
    This paper describes a method for improving the efficiency of the language resource development process through bootstrapping.
  • Davel, MH; Barnard, E (Interspecch 2005, 2005-09)
    Bootstrapping techniques are an efficient way to develop electronic pronunciation dictionaries, but require fast system response to be practical for medium-to-large lexicons. In addition, user errors are inevitable during ...
  • Davel, M; Barnard, E (Acad Science South Africa A S S AF, 2006-07)
    Bootstrapping techniques can accelerate the development of language technology for resource-scarce languages. We (the authors) define a framework for the analysis of a general bootstrapping process whereby a model is ...
  • Davel, M; Barnard, E (2006-02-27)
    Bootstrapping techniques can accelerate the development of language technology for new languages. The authors define a framework for the analysis of a general bootstrapping process whereby a model is improved through a ...
  • De Wet, Febe; Dlamini, Nkosikhona; Van der Walt, Willem J; Govender, Avashna (IEEE, 2017-12)
    Creating synthetic voices that are both natural and intelligible is a daunting challenge for well-resourced languages. The challenge is much bigger for languages in which the speech and text resources required for voice ...
  • Calteaux, K; Grover, AS; Van Huyssteen, GB (2012-05)
    Multilingual emerging markets hold many opportunities for the application of spoken language technologies, such as interactive voice response (IVR) systems. Designing such systems requires an in-depth understanding of the ...
  • Kamper, H; De Wet, Febe; Hain, T; Niesler, T (Elsevier, 2014-11)
    South African English is currently considered an under-resourced variety of English. Extensive speech resources are, however, available for North American (US) English. In this paper we consider the use of these US resources ...
  • Kleynhans, N; Barnard, E (PRASA 2008, 2008-11)
    The performance of trainable speech-processing systems deteriorates significantly when there is a mismatch between the training and testing data. The data mismatch becomes a dominant factor when collecting speech data for ...
  • Badenhorst, J; Van Heerden, C; Davel, M; Barnard, E (Springer Science+Business Media B.V., 2011-08)
    The authors describe the Lwazi corpus for automatic speech recognition (ASR), a new telephone speech corpus which contains data from the eleven official languages of South Africa. Because of practical constraints, the ...
  • Badenhorst, JAC; Van Heerden, C; Davel, M; Barnard, E (Association for Computational Linguistics, 2009-03)
    The authors describes the Lwazi corpus for automatic speech recognition (ASR), a new telephone speech corpus which includes data from nine Southern Bantu languages. Because of practical constraints, the amount of speech ...
  • De Waal, AJ; Ritchey, T (Operations Research Society of South Africa (ORSSA), 2007-12)
    Morphological analysis (MA) and Bayesian networks (BN) are two closely related modelling methods, each of which has its advantages and disadvantages for strategic decision support modelling. MA is a method for defining, ...
  • Van Heerden, C; Barnard, E (PRASA 2009, 2009-11)
    The authors compare several different classifier combination methods on a single task, namely speaker age classification. This task is well suited to combination strategies, since significantly different feature classes ...
  • Morris, C (2006-05)
    This paper reviews the status of eAdoption in South Africa and Mozambique. It describes the ICT strategy including current and planned enabling legislation, the identification of key stakeholder responsible for policy and ...
  • Basson, WD; Davel, MH (PRASA 2012, 2012-11)
    This paper compares the recognition accuracy of a phoneme-based automatic speech recognition system with that of a grapheme-based system, using Afrikaans as case study. The first system is developed using a conventional ...
  • Loots, L; Davel, M; Barnard, E; Niesler, T (PRASA 2009, 2009-11)
    Phoneme-to-phoneme (P2P) learning provides a mechanism for predicting the pronunciation of a word based on its pronunciation in a different accent, dialect or language. The authors evaluate the effectiveness of manually-developed ...
  • Van Zyl, P; Kourie, DG; Boake, A (South African Institute for Computer Scientists and Information Technologists, 2006-10)
    The currently popular distributed, n-tiered, object-oriented application architecture provokes many design debates. Designs of such applications are often divided into logical ‘tiers’ – usually user interface, business ...

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