Aktuelles

Unser Paper BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics von Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Denis Huseljic, Marek Herde, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde und Christoph Scholz wurde akzeptiert bei der International Conference on Learning Representations (ICLR) 2025. Abstract: Deep learning (DL) has greatly advanced audio classification, yet […]

Unser Paper AudioProtoPNet: An interpretable deep learning model for bird sound classification von René Heinrich, Lukas Rauch, Bernhard Sick und Christoph Scholz erscheint in der 87. Ausgabe von Ecological Informatics. Abstract: Deep learning models have significantly advanced acoustic bird monitoring by recognizing numerous bird species based on their vocalizations. However, traditional deep learning models are