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Silbido profundo: An open source package for the use of deep learning to detect odontocete whistles.
Conant, Peter C; Li, Pu; Liu, Xiaobai; Klinck, Holger; Fleishman, Erica; Gillespie, Douglas; Nosal, Eva-Marie; Roch, Marie A.
Affiliation
  • Conant PC; Department of Computer Science, San Diego State University, San Diego, California 92182, USA.
  • Li P; Department of Computer Science, San Diego State University, San Diego, California 92182, USA.
  • Liu X; Department of Computer Science, San Diego State University, San Diego, California 92182, USA.
  • Klinck H; K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, Cornell University, New York, New York 14850, USA.
  • Fleishman E; College of Earth, Ocean, and Atmospheric Sciences, Oregon State University, Corvallis, Oregon 97331, USA.
  • Gillespie D; Sea Mammal Research Unit, Scottish Oceans Institute, University of St. Andrews, St. Andrews, KY16 9AJ, United Kingdom.
  • Nosal EM; Department of Ocean and Resources Engineering, University of Hawai'i at Manoa, Honolulu, Hawaii 96822, USA.
  • Roch MA; Department of Computer Science, San Diego State University, San Diego, California 92182, USA.
J Acoust Soc Am ; 152(6): 3800, 2022 12.
Article in En | MEDLINE | ID: mdl-36586843
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Limits: Animals Language: En Journal: J Acoust Soc Am Year: 2022 Document type: Article Affiliation country: Country of publication:
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Limits: Animals Language: En Journal: J Acoust Soc Am Year: 2022 Document type: Article Affiliation country: Country of publication: