Browsing by Subject "Data augmentation"
Now showing items 1-3 of 3
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Novel data augmentation schemes for pose classification using a convolutional neural network
(North-West University (South Africa), 2024-05)Population aging is a global trend that can be attributed to declining fertility rates, longer life expectancies, and aging cohorts in many developed countries. The number of individuals over the age of 60 is expected to ... -
Parametric studies of translation invariance and distortion robustness in Convolutional Neural Networks
(North-West University (South Africa), 2021)Although Convolutional Neural Networks (CNNs) are widely used, their translation in-variance (ability to deal with translated inputs) is still subject to some controversy. We explore this question using translation-sensitivity ... -
Trajectory modelling with limited speech data
(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 ...
