The CP Team (Florian Schmid, Shahed Masoudian, Khaled Koutini & Gerhard Widmer) and a JKU Student Team (Tobias Morocutti and Diaaeldin Shalaby,  supervised by CP members) score ranks 1 and 3 in the Low-Complexity Acoustic Scene Classification Task, opens an external URL in a new window of the DCASE 2022 Challenge, opens an external URL in a new window. The aim of this task is to classify audio recordings into one of ten predefined acoustic scenes. Submitted Systems have to overcome hurdles such as low-complexity constraints, cross-device and cross-city generalization.

The CP Team (Paul Primus & Gerhard Widmer) achieves rank 4 in the Automated Audio Captioning Task, opens an external URL in a new window of the DCASE 2022 Challenge. The goal of this task is to build a system that accepts an audio signal as input and outputs a textual description.