Work

Deep machine learning allows classification of male and female songbird songs in a species with highly variable repertoires

Year: 2025

Type: article

Source: Behaviour

DOI: 10.1163/1568539x-bja10324

Authors: Sarah M. Keck, Alex Barnhill, Simeon Quirinus Smeele, Maxine Hsu, Ailin Dolson-Fazio, Christian Bergler, Gregory F. Ball, Cara A. Krieg, Karan J. Odom

Institutions: University of Maryland, College Park, Ostbayerische Technische Hochschule Amberg-Weiden, Aarhus University, Northeastern University, Friedrich-Alexander-Universität Erlangen-Nürnberg, University of Scranton, University of the Pacific

Language: English

Topic: Animal Vocal Communication and Behavior

Subfield: Developmental Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

OpenAlex ID: W4415032673

FWCI: 1.741

Cites: 4

Cited by: 2

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