Modelling reindeer rut activity using on-animal acoustic recorders and machine learning.

ABSTRACT: For decades, researchers have employed sound to study the biology of wildlife, with the aim to better understand their ecology and behaviour. By utilizing on-animal recorders to capture audio from freely moving animals, scientists can decipher the vocalizations and glean insights into their behaviour and ecosystem dynamics through advanced signal processing. However, the laborious task of sorting through extensive audio recordings has been a major bottleneck. To expedite this process, researchers have turned to machine learning techniques, specifically neural networks, to streamline the analysis of data. Nevertheless, much of the existing research has focused predominantly on stationary recording devices, overlooking the potential benefits of employing on-animal recorders in conjunction wi

SUBMITTER: Boucher AJ 

PROVIDER: S-EPMC11199844 | biostudies-literature | 2024 Jun

REPOSITORIES: biostudies-literature