1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Decoding Insect Song: A Multitask Semisupervised Orthoptera Bioacoustic Classifier
Olga Isupova, Danil Kuzin, Ella Browning +2
Passive acoustic monitoring holds great promise for ecological inference, yet existing automated tools are typically narrowly trained and non-transferable. We address these limitat…
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…