Applications of machine learning in underwater bioacoustics

Aradi, Attila and Takács, Péter and Varga, Attila Károly (2025) Applications of machine learning in underwater bioacoustics. In: Proceedings of the International Conference on Formal Methods and Foundations of Artificial Intelligence. Eszterházy Károly Katolikus Egyetem Líceum Kiadó, Eger, pp. 14-22. ISBN 9789634963035

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Abstract

Underwater bioacoustics, the study of sound in aquatic biological systems, is increasingly enhanced by machine learning (ML) technologies. This paper explores recent developments in applying ML to underwater bioacoustics, focusing on marine and freshwater species identification, environmental monitoring, and noise reduction. We examine key methodologies, present performance analysis from various applications, and address the challenges unique to the underwater domain. Additionally, we propose future directions for research including multimodal approaches and real-time processing systems.

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