4 citations · 4 across the 7 of their papers we have counts for
Showing cs.SDShow all
3 papers · 1 filter
cs.SD2025
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…
cs.SD2024★ 4 cited
Generalization in birdsong classification: impact of transfer learning methods and dataset characteristics
Burooj Ghani, Vincent J. Kalkman, Bob Planqué +3
Animal sounds can be recognised automatically by machine learning, and this has an important role to play in biodiversity monitoring. Yet despite increasingly impressive capabiliti…
cs.SD2023
Efficient speech detection in environmental audio using acoustic recognition and knowledge distillation
Drew Priebe, Burooj Ghani, Dan Stowell
The ongoing biodiversity crisis, driven by factors such as land-use change and global warming, emphasizes the need for effective ecological monitoring methods. Acoustic monitoring…