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Browsing by Author "De Wet, F"

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  • Kleynhans, N; Molapo, R; De Wet, Febe (PRASA, 2012-11)
    The paper presents work aimed at optimising acoustic models for the AutoSecretary call routing system. To develop the optimised acoustic models: (1) an appropriate phone set was selected and used to create a pronunciation ...
  • Kleynhans, N; Molapo, R; De Wet, Febe (PRASA, 2012-11)
    The paper presents work aimed at optimising acoustic models for the AutoSecretary call routing system. To develop the optimised acoustic models: (1) an appropriate phone set was selected and used to create a pronunciation ...
  • Modipa, T; Davel, M; De Wet, Febe (ACM Digital Library, 2010-10)
    Automatic 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 ...
  • Heeringa, W; De Wet, Febe; Van Huyssteen, GB (University of Stellenbosch. Department of General Linguistics, 2015-07)
    Following Den Besten’s (2009) desiderata for historical linguistics of Afrikaans, this article aims to contribute some modern evidence to the debate regarding the founding dialects of Afrikaans. From an applied perspective ...
  • Kleynhans, N; De Wet, Febe (Pattern Recognition Association of South Africa, 2014-11)
    Most of the developing world can still be classified as under-resourced in terms of their languages. Harvesting suitable and relatively easily accessible spoken resources can drastically improve the situation. One such ...
  • Modipa, T; De Wet, Febe; Davel, M (PRASA 2009, 2009-11)
    Call routing is an important application of Automatic Speech Recognition (ASR) technology. In this paper the authors discuss the main issues affecting the performance of a call routing system and describe the ASR component ...
  • Van Heerden, CJ; De Wet, Febe; Davel, MH (PRASA, 2012-11)
    This paper reports on the automatic alignment of audiobooks in Afrikaans. An existing Afrikaans pronunciation dictionary and corpus of Afrikaans speech data are used to generate baseline acoustic models. The baseline system ...
  • 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 ...
  • Modipa, TI; Davel, MH; De Wet, Febe (PRASA, 2012-11)
    When modelling code-switched speech (utterances that contain a mixture of languages), the embedded language often contains phones not found in the matrix language. These are typically dealt with by either extending the ...
  • De Wet, Febe; De Waal, A; Van Huyssteen, GB (The International Speech Communication Association, 2011-08)
    Afrikaans is one of the eleven official languages of South Africa. It is classified as an under-resourced language. No annotated broadband speech corpora currently exist for Afrikaans. This article reports on the development ...
  • De Wet, Febe; Badenhorst, J; Modipa, T (Elsevier, 2016-05)
    The official languages of South Africa can still be classified as under-resourced with respect to the speech resources that are required for technology development. Harvesting speech data from existing sources is one means ...
  • Molapo, R; Barnard, E; De Wet, Febe (PRASA 2013 Proceedings, 2013-12)
    The authors describe the integration of several tools to enable the end-to-end development of an Automatic Speech Recognition system in a typical under-resourced language. The authors analyse the data acquired by each of ...
  • Govender, N; Nouhou, B; De Wet, F (IEEE, 2015-11)
    Acquiring large amounts of child speech data is a particularly difficult task. One could therefore consider the possibility to add existing corpora of child speech data to the severely limited resources that are available ...
  • Modipa, TI; Davel, MH; De Wet, Febe (PRASA 2013 Proceedings, 2013-12)
    Code switching (the process of switching from one language to another during a conversation) is a common phenomenon in multilingual environments. Where a minority and dominant language coincide, code switching from the ...
  • 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 ...
  • Barnard, E; Davel, MH; Van Heerden, C; De Wet, Febe; Badenhorst, J (2014-05)
    The NCHLT speech corpus contains wide-band speech from approximately 200 speakers per language, in each of the eleven of cial languages of South Africa. We describe the design and development processes that were undertaken ...
  • Sahraeian, R; Van Compernolle, D; De Wet, Febe (SLTU 2014, 2014-05)
    This paper demonstrates the application of Intrinsic Spectral Analysis (ISA) for low-resource Automatic Speech Recognition (ASR). State-of-the-art speech recognition systems that require large amounts of task specific ...
  • Badenhorst, J; De Waal, A; De Wet, Febe (2012-05)
    The collection of speech data suitable for speech technology development is a challenge for under-resourced languages. Factors such as cost, availability of mother-tongue speakers and vast geographic distances call for ...
  • De Wet, Febe; Muller, P; Van der Walt, C; Niesler, T (ISCA, 2011-08)
    The authors investigate the effectiveness of using an accepted readability index, the Flesch Reading Ease (FRE) scale, to design prompts for an automatic oral proficiency assessment system. The prompts in question are ...
  • De Wet, Febe; Niesler, T; Van der Walt, C (Sun Media 2012, 2012-11)
    Academic literacy proficiency is key to the success of a student at university. Currently, the large-scale assessment of language proficiency, particularly at higher education levels, is dominated by reading and writing ...