574 citations · 784 across the 4 of their papers we have counts for
4 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…
Eastern Arctic ambient noise on a drifting vertical array
Emma Reeves, Peter Gerstoft, Peter Worcester +2
Ambient noise in the eastern Arctic was studied from April to September 2013 using a 22 element vertical hydrophone array as it drifted from 8923'N, 6435'W to 83$^\…