4 citations · 5 across the 2 of their papers we have counts for
2 papers
q-bio.QM2024★ 4 cited
All Thresholds Barred: Direct Estimation of Call Density in Bioacoustic Data
Amanda K. Navine, Tom Denton, Matthew J. Weldy +1
Passive acoustic monitoring (PAM) studies generate thousands of hours of audio, which may be used to monitor specific animal populations, conduct broad biodiversity surveys, detect…
cs.SD2023★ 1 cited
Whombat: An open-source annotation tool for machine learning development in bioacoustics
Santiago Martinez Balvanera, Oisin Mac Aodha, Matthew J. Weldy +3
1. Automated analysis of bioacoustic recordings using machine learning (ML) methods has the potential to greatly scale biodiversity monitoring efforts. The use of ML for high-stake…