Applying machine learning to primate bioacoustics: Review and perspectives
Jules Cauzinille,
Benoit Favre,
Ricard Marxer
et al.
Abstract:This paper provides a comprehensive review of the use of computational bioacoustics as well as signal and speech processing techniques in the analysis of primate vocal communication. We explore the potential implications of machine learning and deep learning methods, from the use of simple supervised algorithms to more recent self‐supervised models, for processing and analyzing large data sets obtained within the emergence of passive acoustic monitoring approaches. In addition, we discuss the importance of aut… Show more
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