574 citations · 600 across the 4 of their papers we have counts for
4 papers
Learning Stage-wise GANs for Whistle Extraction in Time-Frequency Spectrograms
Pu Li, Marie Roch, Holger Klinck +5
Whistle contour extraction aims to derive animal whistles from time-frequency spectrograms as polylines. For toothed whales, whistle extraction results can serve as the basis for a…
Learning Deep Models from Synthetic Data for Extracting Dolphin Whistle Contours
Pu Li, Xiaobai Liua, K. J. Palmer +8
We present a learning-based method for extracting whistles of toothed whales (Odontoceti) in hydrophone recordings. Our method represents audio signals as time-frequency spectrogra…
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…
RAVEN X High Performance Data Mining Toolbox for Bioacoustic Data Analysis
Peter J. Dugan, Holger Klinck, Marie A. Roch +1
Objective of this work is to integrate high performance computing (HPC) technologies and bioacoustics data-mining capabilities by offering a MATLAB-based toolbox called Raven-X. Ra…