Silbido profundo : an open source package for the use of deep learning to detect odontocete whistles

• Published in: The Journal of the Acoustical Society of America
• Main Authors: Conant, Peter C., Li, Pu, Liu, Xiaobai, Klinck, Holger, Fleishman, Erica, Gillespie, Douglas, Nosal, Eva-Marie, Roch, Marie A.
• Other Authors: University of St Andrews. School of Biology, University of St Andrews. Sea Mammal Research Unit, University of St Andrews. Scottish Oceans Institute, University of St Andrews. Sound Tags Group, University of St Andrews. Bioacoustics group, University of St Andrews. Marine Alliance for Science & Technology Scotland
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2023
• Subjects: Acoustics and ultrasonics; DAS; MCC; Pacific; Silbido; toothed whale
• Online Access: http://hdl.handle.net/10023/26799; https://doi.org/10.1121/10.0016631

Funding: The authors wish to thank Dr. Michael Weise of the Office of Naval Research (N00014-17-1-2867, N00014-17-1-2567) for supporting this project. We also thank Anu Kumar and Mandy Shoemaker of U.S. Navy Living Marine Resources for supporting development of the data management tools used in this...