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20242026
most citedAudioProtoPNet: An interpretable deep learning model for bird sound classification

3 citations · 3 across the 3 of their papers we have counts for

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2 papers · 1 filter

cs.SD2025

Uncertainty Calibration of Multi-Label Bird Sound Classifiers

Raphael Schwinger, Ben McEwen, Vincent S. Kather +3

Passive acoustic monitoring enables large-scale biodiversity assessment, but reliable classification of bioacoustic sounds requires not only high accuracy but also well-calibrated…

cs.SD2025

Foundation Models for Bioacoustics -- a Comparative Review

Raphael Schwinger, Paria Vali Zadeh, Lukas Rauch +4

Automated bioacoustic analysis is essential for biodiversity monitoring and conservation, requiring advanced deep learning models that can adapt to diverse bioacoustic tasks. This…