Paul Best

Paul Best has been awarded an 2024 ILCB post-doc grant to work on the topic of spatialised bioacoustics for the analysis of turn-taking in non-human interactions. Paul’s original background is in computer science and machine learning. During his PhD and post-doc in Toulon university, he worked on automating the analysis of non-human vocalisations using neural networks. Paul has applied these methods to a range of species with a variety of research questions, always working with long-term acoustic data recordings of free-ranging animals. Some of these projects include analysing the presence patterns of sperm whales, characterising the evolution of song structure in fin whales, and linking communicative complexity to sociality in orcas. Currently at CRPN, Paul is working with recordings of pilot whales and cao-vit gibbons, with a focus on how contextualising passive acoustic data with spatial information (the location of the vocalising animal) contributes to a better understanding of their vocal behaviour.