Browsing by Subject "Trajectory-based features"

Now showing items 1-2 of 2

    • Synthetic triphones from trajectory-based feature distributions 

      Badenhorst, Jaco; Davel, Marelie H. (Pattern Recognition Association of South Africa and Mechatronics International Conference, 2015)
      We experiment with a new method to create synthetic models of rare and unseen triphones in order to supplement limited automatic speech recognition (ASR) training data. A trajectory model is used to characterise seen ...

    • 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 ...