The outcome of the Machine Learning for Spatial Audio Processing project will be presented by mgr inż. Daniel Krause at EUSIPCO 2020 virtual conference, which starts this week, with papers on “Comparison of Convolution Types in CNN-based Feature Extraction for Sound Source Localization” and “Feature Overview for Joint Modeling of Sound Event Detection and Localization Using a Microphone Array”. The second presentation will take place on Tuesday, January the 19th, during the lecture session on Detection and Classification of Acoustic Scenes and Events, which is chaired by associate professor Konrad Kowalczyk.
