Alle

Our paper BirdSet: A Large-Scale Dataset for Audio Classification in Avian Bioacoustics by Lukas Rauch, Raphael Schwinger, Moritz Wirth, René Heinrich, Denis Huseljic, Marek Herde, Jonas Lange, Stefan Kahl, Bernhard Sick, Sven Tomforde and Christoph Scholz has been accepted at International Conference on Learning Representations (ICLR) 2025. Abstract: Deep learning (DL) has greatly advanced audio classification, yet […]

Our paper AudioProtoPNet: An interpretable deep learning model for bird sound classification by René Heinrich, Lukas Rauch, Bernhard Sick and Christoph Scholz is published in the 87th volume of 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