Combining machine learning and a universal acoustic feature-set yields efficient automated monitoring of ecosystems
S. S. Sethi, N. S. Jones, B. D. Fulcher, L. Picinali, D. J. Clink, H. Klinck, C. D. L. Orme, P. H. Wrege, R. M. Ewers
This paper develops a machine learning method using eco-acoustic data to monitor ecosystem changes and detect anomalies efficiently.
bioRxiv · Dec 5, 2019 · PreprintEcology