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

Vocalizations carry emotional, physiological and individual information. This suggests that
they may serve as potentially useful indicators for inferring animal welfare. At the same time …

Automatic detection and classification of animal sounds has many applications in
biodiversity monitoring and animal behavior. In the past twenty years, the volume of digitised …

Sound event detection (SED) methods are tasked with labeling segments of audio
recordings by the presence of active sound sources. SED is typically posed as a supervised …

Deep learning models have improved cutting-edge technologies in many research areas,
but their black-box structure makes it difficult to understand their inner workings and the …

Many animals emit vocal sounds which, independently from the sounds' function, contain
some individually distinctive signature. Thus the automatic recognition of individuals by …

Bioacoustic sensors, sometimes known as autonomous recording units (ARUs), can record
sounds of wildlife over long periods of time in scalable and minimally invasive ways …

The absence of the queen in a beehive is a very strong indicator of the need for beekeeper
intervention. Manually searching for the queen is an arduous recurrent task for beekeepers …

Few-shot sound event detection is the task of detecting sound events, despite having only a
few labelled examples of the class of interest. This framework is particularly useful in …

The sense of hearing is fundamental to human beings, as it allows them to perceive their
surroundings. However, this simple task of recognizing different sounds in complex …