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 Recognition of Code-Switched Speech in Sepedi 

      Modipa, Thipe Isaaih (2016)
      Code switching (CS) is a natural phenomenon that is often observed in multilingual speakers. These speakers use words, phrases or sentences from foreign languages and embed them in sentences in the primary language. ...
    • 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 ...
    • Effective automatic speech recognition data collection for under–resourced languages 

      De Vries, Nicolaas Johannes (North-West University, 2011)
      As building transcribed speech corpora for under–resourced languages plays a pivotal role in developing automatic speech recognition (ASR) technologies for such languages, a key step in developing these technologies is the ...
    • Trajectory modelling with limited speech data 

      Badenhorst, Jacob Andreas Cornelius (2016)
      State-of-the-art automatic speech recognition (ASR) systems are built using hundreds or even thousands of hours of speech data. Even then, high recognition accuracy is achievable only by carefully constraining the recognition ...