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.
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2022
• Subjects: Acoustics and ultrasonics; Pacific; Silbido; toothed whale
• Online Access: https://research-portal.st-andrews.ac.uk/en/publications/de0d03ea-698f-4aa3-8a87-3858658c1220; https://doi.org/10.1121/10.0016631; https://research-repository.st-andrews.ac.uk/bitstream/10023/26799/1/Conant_2022_JSA_Silbido_profundo_CC.pdf

This work presents an open-source matlab software package for exploiting recent advances in extracting tonal signals from large acoustic data sets. A whistle extraction algorithm published by Li, Liu, Palmer, Fleishman, Gillespie, Nosal, Shiu, Klinck, Cholewiak, Helble, and Roch [(2020). P roceeding...