3 papers
cs.LG2026
bacpipe: a Python package to make bioacoustic deep learning models accessible
Vincent S. Kather, Sylvain Haupert, Burooj Ghani +1
1. Natural sounds have been recorded for millions of hours over the previous decades using passive acoustic monitoring. Improvements in deep learning models have vastly accelerated…
cs.SD2026
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.LG2025
Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors
Vincent S. Kather, Burooj Ghani, Dan Stowell
In computational bioacoustics, deep learning models are composed of feature extractors and classifiers. The feature extractors generate vector representations of the input sound se…