Lucas Van Severen Faculty of Engineering and Architecture > Department of Information technology ORCID iD 0000-0002-4766-4360 1 – 1 of 1 publication Show 250 5 10 15 20 50 100 250 Sort by year (new to old) Actions Filter publications Download search results Subscribe to news feed Add to list Journal Article A1 open access DOA-guided source separation with direction-based initialization and time annotations using complex angular central Gaussian mixture models Alexander Bohlender (UGent) , Lucas Van Severen, Jonathan Sterckx (UGent) and Nilesh Madhu (UGent) (2022) EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING. 2022(1).