Thesis topic

Audiovisual Signal Processing Informed by Semantic Understanding using Deep Learning

  • Type
    Doctorate Post-doctorate
  • Keywords
    Signal Processing, Machine Learning, Deep Neural Networks


This research will advance the quality of audiovisual signal processing through approaches that cast the signal processing problem in a machine learning framework, and improve the quality of it thanks to semantic understanding of what is being processed (informed signal processing). This represents a radical emerging change in signal processing research, where handcrafted algorithms are being replaced by end-to-end machine learning, especially deep learning, as well as neuromorphic computing. Applications to sound and video enhancement and understanding will be considered. The research will allow the candidate to develop a unique and transferable expertise in advanced machine learning, AI and Big Data. The researcher will be integrated within a significant group of deep learning researchers involved in regional and international collaboration with worldleading labs in the area.

About this topic

Related to
Circuit Theory and Signal Processing Unit
Stéphane Dupont

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