A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets

Kaitlin E. Frasier

doi:10.1371/journal.pcbi.1009613

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Open Access

Peer-reviewed

Research Article

A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets

Kaitlin E. Frasier

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: kfrasier@ucsd.edu

Affiliation Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, United States of America

https://orcid.org/0000-0002-2401-8569

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A machine learning pipeline for classification of cetacean echolocation clicks in large underwater acoustic datasets

Kaitlin E. Frasier

Published: December 3, 2021
https://doi.org/10.1371/journal.pcbi.1009613

About the Authors

Kaitlin E. Frasier

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: kfrasier@ucsd.edu

Affiliation Scripps Institution of Oceanography, University of California San Diego, La Jolla, California, United States of America

https://orcid.org/0000-0002-2401-8569

Competing Interests

The author has declared that no competing interests exist.

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Bioacoustics
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Acoustic signals
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Dolphins
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Acoustics
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Echolocation
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Beaked whales
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Sonar
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Boats
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