163 citations · 210 across the 2 of their papers we have counts for
3 papers
Deep embedded clustering of coral reef bioacoustics
Emma Ozanich, Aaron Thode, Peter Gerstoft +2
Deep clustering was applied to unlabeled, automatically detected signals in a coral reef soundscape to distinguish fish pulse calls from segments of whale song. Deep embedded clust…
Machine learning in acoustics: theory and applications
Michael J. Bianco, Peter Gerstoft, James Traer +4
Acoustic data provide scientific and engineering insights in fields ranging from biology and communications to ocean and Earth science. We survey the recent advances and transforma…
Deep-learning source localization using multi-frequency magnitude-only data
Haiqiang Niu, Zaixiao Gong, Emma Ozanich +3
A deep learning approach based on big data is proposed to locate broadband acoustic sources using a single hydrophone in ocean waveguides with uncertain bottom parameters. Several…