4 citations · 4 across the 1 of their papers we have counts for
2 papers
q-bio.QM2020★ 4 cited
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…
eess.SP2019
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…