Projects
Deep-Learning based Joint Audio, Video Processing for Augmented Listening Ghent University
Augmented listening implies the extraction of desired audio signal(s) from a distorted capture. Like human perception of speech, where visual and acoustic cues jointly contribute to the understanding, we aim to improve this extraction by augmenting the audio with visual information. A side-application is the detection of inconsistent streams, hinting at deepfakes or otherwise compromised streams.
A holistic approach to the design of integrated and distributed digital signal processing algorithms for audio and speech communication devices KU Leuven
International Joint Research Group - Joint Laboratory on Audio Visual Signal Processing Vrije Universiteit Brussel
Digital signal processing for digital communication, audio- and speech signal processing KU Leuven
Marc Moonen supervises a research team of pre- and postdoctoral researchers performing research in digital signal processing algorithms design and evaluation, for digital communication and audio- and speech signal processing. Digital communication activities are targeted towards physical layer processing (e.g. equalization, multiple-access, interference/crosstalk cancellation and MIMO transmission techniques) and resource allocation, in ...
Audio classification with resource-constrained wireless sensor networks KU Leuven
Smart sensing has been subject of significant academic and industrial interest, as these services are becoming more popular due to integrated devices shrinking in size while maintaining their computational power. When designing an integrated solution for a given application, an important choice is to select a proper set of sensor modalities along with the amount of sensors that are needed to cover the environment. In this dissertation, ...