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7 papers
ChiroEcho: extending automated bat vocalisation classification beyond the learned taxonomy
Burooj Ghani, Welmoed Eversteijn, Milan van Hirtum +4
Bats are key indicators of ecosystem health and are protected throughout Europe, making reliable population monitoring a conservation priority. Their cryptic nocturnal lifestyle ma…
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…
Decodable but not structured: linear probing enables Underwater Acoustic Target Recognition with pretrained audio embeddings
Hilde I. Hummel, Sandjai Bhulai, Rob D. van der Mei +1
Increasing levels of anthropogenic noise from ships contribute significantly to underwater sound pollution, posing risks to marine ecosystems. This makes monitoring crucial to unde…
Automated data curation for self-supervised learning in underwater acoustic analysis
Hilde I Hummel, Sandjai Bhulai, Burooj Ghani +1
The sustainability of the ocean ecosystem is threatened by increased levels of sound pollution, making monitoring crucial to understand its variability and impact. Passive acoustic…
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…
InsectSet459: an open dataset of insect sounds for bioacoustic machine learning
Marius FaiÃ, Burooj Ghani, Dan Stowell
Automatic recognition of insect sound could help us understand changing biodiversity trends around the world -- but insect sounds are challenging to recognize even for deep learnin…