Now showing items 1-5 of 5

    • Activation functions in deep neural networks 

      Pretorius, A.M. (North-West University (South Africa), 2020)
      The ability of machine learning algorithms to generalize is arguably their most important aspect as it determines their ability to perform appropriately on unseen data. The impres-sive generalization abilities of deep ...
    • Automatic speech recognition for resource–scarce environments 

      Kleynhans, Neil Taylor (North-West University, 2013)
      Automatic speech recognition (ASR) technology has matured over the past few decades and has made significant impacts in a variety of fields, from assistive technologies to commercial products. However, ASR system development ...
    • Classification in high dimensional feature spaces 

      Van Dyk, Hendrik Oostewald (North-West University, 2009)
      In this dissertation we developed theoretical models to analyse Gaussian and multinomial distributions. The analysis is focused on classification in high dimensional feature spaces and provides a basis for dealing with ...
    • Data sufficiency analysis for automatic speech recognition 

      Badenhorst, Jacob Andreas Cornelius (North-West University, 2009)
      The languages spoken in developing countries are diverse and most are currently under-resourced from an automatic speech recognition (ASR) perspective. In South Africa alone, 10 of the 11 official languages belong to this ...
    • The effects of part–of–speech tagging on text–to–speech synthesis for resource–scarce languages 

      Schlünz, Georg Isaac (North-West University, 2010)
      In the world of human language technology, resource–scarce languages (RSLs) suffer from the problem of little available electronic data and linguistic expertise. The Lwazi project in South Africa is a large–scale endeavour ...