UGent Data Science Seminar: Dr. Johan Pauwels

Speaker: Dr. Johan Pauwels (Imperial College London)

Title:
Scaling the unknown: (not) new challenges in music and audio research

Abstract:
In this talk, I will discuss what I’ve learned from taking a well-defined academic research topic in music information retrieval and trying to scale it to a more real-world deployment scenario. I’ll focus on the challenges that naturally arise in terms of big(ger) data and usability, and on the new research questions that come with it. Then I’ll outline how I hope to apply this knowledge to the emerging field of immersive audio in the context of the SONICOM project, which has just started.

Bio:
Johan Pauwels is a research fellow at Imperial College London with an interest in applying artificial intelligence and signal processing to music and immersive audio. He received master of science degrees in electrical engineering (‘06) and artificial intelligence (’07) from the KULeuven. After obtaining his PhD degree from Ghent University on the topic of automatic harmony recognition from audio in 2016, he joined the Centre for Digital Music at Queen Mary University of London and recently moved to Imperial College. He has contributed to a variety of national and international research projects while working at Ghent University, IRCAM, Queen Mary University and Imperial College, and has taught at most of these institutions, as well as City University of London and the University of West London.