Same data, different results? Machine learning approaches in bioacoustics

Abstract Automated acoustic analysis is increasingly used in behavioural ecology, and determining caller identity is a key element for many investigations. However, variability in feature extraction and classification methods limits the comparability of results across species and studies, constraini...

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Bibliographic Details
Published in:	Methods in Ecology and Evolution
Main Authors:	Kaja Wierucka, Derek Murphy, Stuart K. Watson, Nikola Falk, Claudia Fichtel, Julian León, Stephan T. Leu, Peter M. Kappeler, Elodie F. Briefer, Marta B. Manser, Nikhil Phaniraj, Marina Scheumann, Judith M. Burkart
Format:	Article
Language:	English
Published:	Wiley 2025-08-01
Subjects:	bioacoustics call distinctiveness individual identification machine learning method comparison review
Online Access:	https://doi.org/10.1111/2041-210X.70091

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