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Browsing Human language technologies by Title

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  • Marais, Laurette; Van Zijl, L (Springer Nature, 2016-07)
    We investigate self-verifying nondeterministic finite automata, in the case of unary symmetric difference nondeterministic finite automata (SV-XNFA). We show that there is a family of languages Ln=2 which can always be ...
  • Sahraeian, R; van Compernolle, D; De Wet, Febe (International Speech Communication Association, 2015-09)
    Conventional acoustic modeling involves estimating many parameters to effectively model feature distributions. The sparseness of speech and text data, however, degrades the reliability of the estimation process and makes ...
  • Kleynhans, N; De Wet, Febe; Barnard, E (IEEE, 2015-11)
    Large amounts of untranscribed audio data are generated every day. These audio resources can be used to develop robust acoustic models that can be used in a variety of speech-based systems. Manually transcribing this data ...
  • Kleynhans, N (Pattern Recognition Association of South Africa, 2014-11)
    Using a speech recognition system to convert spoken audio to text can enable the structuring of large collections of spoken audio data. A convenient means to summarise or cluster spoken data is to identify the topic under ...
  • Schlunz, Georg I (IEEE, 2018-12)
    We report on two sets of perceptual evaluations of our South African text-to-speech voices by language practitioners. In the first evaluation, we measure baseline quality in terms of how understandable and human-like the ...
  • Makovhololo, ML; Ruxwana, Lennox N (IJCSIS, 2017-09)
    Organisations often use enterprise architecture (EA) as a bridging method to align their business and Information Technology (IT) strategies. As a result, different available industrial enterprise architecture frameworks ...
  • Badenhorst, Jacob AC; De Wet, Febe (MDPI, 2019-08)
    When the National Centre for Human Language Technology (NCHLT) Speech corpus was released, it created various opportunities for speech technology development in the 11 official, but critically under-resourced, languages ...
  • Butgereit, L; Botha, Adèle; Van Niekerk, D (AFRICOMM 2009, 2009-12)
    Language skills are essential for education and economic development. Many countries (especially in Africa) have more than one official language and even more unofficial languages. Being able to express oneself effectively ...
  • Sahraeian, R; Van Compernolle, D; De Wet, Febe (IEEE, 2015-11)
    Recently, multilingual deep neural networks (DNNs) have been successfully used to improve under-resourced speech recognizers. Common approaches use either a merged universal phoneme set based on the International Phonetic ...
  • Butgereit, L (2007-05)
    Interns and new employees right out of university or technicians need practical experience in software development projects before they can effectively contribute to an organization's own software development. Encouraging ...
  • Van Heerden, CJ; Barnard, E (PRASA, 2005-11)
    This paper presents an analysis of temporal information as a feature for use in speaker verification systems. The relevance of temporal information in a speaker’s utterances is investigated, both with regard to improving ...
  • Barnard, E; Plauche, M; Davel, M (IEEE, 2008-12)
    The commercial successes of spoken dialog systems in the developed world provide encouragement for their use in the developing world, where speech could play a role in the dissemination of relevant information in local ...
  • Davel, MH; De Wet, Febe (2010-09)
    The authors describe a new language-independent technique for automatically identifying errors in an electronic pronunciation dictionary by analyzing the source of conflicting patterns directly.They evaluate the effectiveness ...
  • Barnard, E; Schalkwyk, J; Van Heerden, C; Moreno, PJ (International Speech Communication Association (ISCA), 2010-09)
    In light of the serious problems with both illiteracy and information access in the developing world, there is a widespread belief that speech technology can play a significant role in improving the quality of life of ...
  • Sharma Grover, AS; Calteaux, K; Barnard, E; Van Huyssteen, G (Association for Computing Machinery (ACM), 2012-03)
    Research using voice-based services as a technology platform for providing information access and services within developing world regions has shown much promise. The results for design and deployment of such voice-based ...
  • Barnard, E; Wissing, D (NISC, 2008)
    For the development of Human Language Technologies such as automatic speech recognition systems or text-to-speech systems, exact acoustic and phonological information of the language in question is essential. In the case ...
  • Strik, H; Palumbo, L; De Wet, Febe; Cucchiarini, C (International Speech Communication Association, 2015-09)
    The European ‘Lifelong Learning Programme’ (LLP) project ‘Games Online for Basic Language learning’ (GOBL) aimed to provide youths and adults wishing to improve their basic language skills access to materials for the ...
  • Badenhorst, Jaco; Tshoane, Alfred; De Wet, Febe (IEEE, 2016-12)
    This paper reports on an analysis of isiXhosa speech produced by adult language learners. The learners whose speech was recorded were all acquiring isiXhosa as an additional language and the majority of the students had ...
  • De Vries, NJ; Badenhorst, J; Davel, MH; Barnard, E; De Waal, A (Conference paper, 2011-08)
    Building transcribed speech corpora for under-resourced languages plays a pivotal role in developing speech technologies for such languages. The authors have developed an open-source tool for devices running the Android ...
  • Sefara, Tshephisho J; Modupe, Abiodun (IEEE, 2019-11)
    The impressive improvement in performance obtained using neural networks for automatic speech recognition (ASR) have motivated the application of neural networks to other speech technologies such as speaker, emotion, ...

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