3 papers
eess.IV2019
Deep motion estimation for parallel inter-frame prediction in video compression
André Nortje, Herman A. Engelbrecht, Herman Kamper
Standard video codecs rely on optical flow to guide inter-frame prediction: pixels from reference frames are moved via motion vectors to predict target video frames. We propose to…
eess.IV2019
BINet: a binary inpainting network for deep patch-based image compression
André Nortje, Willie Brink, Herman A. Engelbrecht +1
Recent deep learning models outperform standard lossy image compression codecs. However, applying these models on a patch-by-patch basis requires that each image patch be encoded a…
cs.CL2019
Unsupervised acoustic unit discovery for speech synthesis using discrete latent-variable neural networks
Ryan Eloff, André Nortje, Benjamin van Niekerk +7
For our submission to the ZeroSpeech 2019 challenge, we apply discrete latent-variable neural networks to unlabelled speech and use the discovered units for speech synthesis. Unsup…