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Browsing by Author "Barnard, E"

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  • Louw, A; Davel, M; Barnard, E (4th International Conference of the African Language Association of Southern Africa (ALASA), 2005-07)
    A general-purpose isiZulu text-to-speech (TTS) system was developed, based on the “Multisyn” unit-selection approach supported by the Festival TTS toolkit. The development involved a number of challenges related to the ...
  • Sharma Grover, A; Plauche, M; Barnard, E; Kuun, C (2009-04)
    This paper presents the work in the design of a SDS for the provision of health information to caregivers of HIV positive children. The authors specifically address the frequently debated question of input modality in ...
  • Sharma Grover, A; Plauche, M; Barnard, E (IEEE, 2009-04)
    This paper presents our work in the design of a SDS for the provision of health information to caregivers of HIV positive children. We specifically address the frequently debated question of input modality in speech systems; ...
  • Van Niekerk, DR; Barnard, E (18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), 2007-11)
    When doing research into or building systems involving spoken language, one invariably relies on relevantly annotated speech data for analysis and incorporation into such systems. The authors investigate methods and ...
  • Badenhorst, J; Davel, MH; Barnard, E (PRASA, 2012-11)
    We improve on a piece-wise linear model of the trajectories of Mel Frequency Cepstral Coefficients, which are commonly used as features in Automatic Speech Recognition. For this purpose, we have created a very clean ...
  • De Waal, A; Barnard, E (PRASA 2010, 2010-11)
    Topic 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 ...
  • Zerbian, S; Barnard, E (Interspeech 2008, 2008-09)
    Tone in Bantu languages is rarely studied experimentally. This paper reports a production study which reveals the intricate interaction of tonal context and morphological structure in surface tone realization in Sepedi, a ...
  • Cloete, Jacob PL; Barnard, E; Patel, Hina M (2004-08)
    The authors report on research aimed at gaining an improved understanding of how issues such as language, literacy and previous exposure to technology affect citizens' ability to access government services of different ...
  • Van Niekerk, DR; Barnard, E (INTERSPEECH 2010, 2010-09)
    The authors present an initial investigation into the acoustic realisation of tone in continuous utterances in Sepedi (a language in the Southern Bantu family). An analytic model for the generation of appropriate pitch ...
  • Van der Walt, CM; Barnard, E (PRASA 2013 Proceedings, 2013-12)
    We investigate the performance of conventional bandwidth estimators for non-parametric kernel density estimation on a number of representative pattern-recognition tasks, to gain a better understanding of the behaviour of ...
  • Barnard, E; Cloete, L; Patel, Hina M (Springer, 2003)
    The paper presents research aimed at overcoming barriers to citizens’ ability to access electronic government services. Our concern is specifically ‘non-connectivity’ barriers to electronic service delivery including ...
  • Kleynhans, NT; Barnard, E (PRASA, 2005-11)
    An investigation into the performance of current speaker verification technology within a multilingual context is presented. Using the Oregon Graduate Institute (OGI) Multi-Language Telephone Speech Corpus (MLTS) database, ...
  • Barnard, E; Van der Walt, Christiaan M; Davel, M; Van Heerden, C; Senekal, FP; Naidoo, T (PRASA, 2009-11)
    Bayesian networks have shown themselves to be useful tools for the analysis and modelling of large data sets. However, their complete generality leads to computational and modelling complexities that have limited their ...
  • Sharma Grover, A; Barnard, E (ACM, 2011-04)
    The authors present the design, development and pilot process of the Lwazi Community Communication Service (LCCS), a multilingual automated telephone-based information service. The service acts as a communication and ...
  • Calteaux, K; De Wet, Febe; Moors, C; Van Niekerk, D; McAlister, B; Grover, AS; Reid, T; Davel, M; Barnard, E; Van Heerden, C (CSIR, 2013-02)
    From 2010-2012 the Human Language Technology (HLT) research group of the CSIR Meraka Institute received funding from the Department of Arts and Culture (DAC) for a project entitled Lwazi II: Increasing the impact of speech ...
  • Van der Walt, Christiaan M; Barnard, E (18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), 2007-11)
    The authors study the relationship between the properties of data and classifier performance. Data measures are employed to characterise classification problems and it is shown that these data measures successfully capture ...
  • Botha, Adèle; Calteaux, K; Herselman, M; Grover, AS; Barnard, E (Karlstad University Press, 2012-02)
    The purpose of this paper is to provide a “Mobile User Experience Framework for Voice services.” The rapid spread of mobile cellular technology within Africa has made it a prime vehicle for accessing services and content. ...
  • Coetzee, L; Viviers, I; Barnard, E (PRASA 2009, 2009-12)
    Multi-modal human computer interfaces are becoming increasingly widespread, building on more capable and affordable devices along with advances in helper applications utilising advanced pattern recognition. These interfaces ...
  • Feld, M; Barnard, E; Van Heerden, C; Muller, C (IEEE, 2009-12)
    Multilinguality represents an area of significant opportunities for automatic speech-processing systems: whereas multilingual societies are commonplace, the majority of speechprocessing systems are developed with a single ...
  • Van Dyk, E; Barnard, E (18th Annual Symposium of the Pattern Recognition Association of South Africa (PRASA), 2007-11)
    The authors investigate the use of naive Bayesian classifiers for multinomial feature spaces and derive error estimates for these classifiers. The error analysis is done by developing a mathematical model to estimate the ...