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Paper · arXiv

bacpipe: a Python package to make bioacoustic deep learning models accessible

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 the analysis of large portions of this data. While new models advance the state-of-the-art, accessing them using tools to harness their full potential is not always straightforward. Here we present bacpipe, a collection of bioacoustic deep learning models and evaluation pipelines accessible through a graphical and programming interface, designed for both ecologists and computer scientists. Bacpipe is a modular software package intended as a point of convergence for bioacoustic models. 2. Bacpipe streamlines the...

AuthorsVincent S. Kather, Sylvain Haupert, Burooj Ghani et al.
Primary categorycs.LG
Published13 April 2026
Last updated at source13 April 2026
cs.LGcs.AI
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