Animal vocalisations and natural soundscapes are fascinating objects of study, and contain
valuable evidence about animal behaviours, populations and ecosystems. They are studied …

Recently developed methods in computational neuroethology have enabled increasingly
detailed and comprehensive quantification of animal movements and behavioral kinematics …

Passive acoustic sensing has emerged as a powerful tool for quantifying anthropogenic
impacts on biodiversity, especially for echolocating bat species. To better assess bat …

Automatic species classification of birds from their sound is a computational tool of
increasing importance in ecology, conservation monitoring and vocal communication …

Using multimedia identification tools is considered as one of the most promising solutions to
help bridge the taxonomic gap and build accurate knowledge of the identity, the geographic …

In this paper we present a new audio classification method for bird species identification.
Whereas most approaches apply nearest neighbour matching [6] or decision trees [8] using …

This work introduces a new dataset and framework for the exploration of topological data
analysis (TDA) techniques applied to time-series data. We examine the end-to-end TDA …

Bioacoustics, the exploration of animal vocalizations and natural soundscapes, has
emerged as a valuable tool for studying species within their habitats, particularly those that …

The study of bird populations is crucial for biodiversity research and conservation. Deep
artificial neural networks have revolutionized bird acoustic recognition; however, most …

Many real-world time series analysis problems are characterized by low signal-to-noise
ratios and compounded by scarce data. Solutions to these types of problems often rely on …