157 citations · 233 across the 12 of their papers we have counts for
3 papers · 1 filter
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 Faiß, 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…