Same data, different results? Machine learning approaches in bioacoustics

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
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
Series:Methods in Ecology and Evolution
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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https://doi.org/10.1111/2041-210X.70091

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