Insects are the most diverse group of animals on Earth, but their small size and high diversity
have always made them challenging to study. Recent technological advances have the …

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

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 …

The ACM Multimedia 2022 Computational Paralinguistics Challenge addresses four
different problems for the first time in a research competition under well-defined conditions …

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 …

Global change is predicted to induce shifts in anuran acoustic behavior, which can be
studied through passive acoustic monitoring (PAM). Understanding changes in calling …

Recent work has reported that respiratory audio-trained AI classifiers can accurately predict
SARS-CoV-2 infection status. However, it has not yet been determined whether such model …

The use of machine learning (ML) based techniques has become increasingly popular in the
field of bioacoustics over the last years. Fundamental requirement for the successful …

Mosquito surveys are time‐consuming, expensive and can provide a biased spatial sample
of occurrence data—the data often representing the location of the surveys, not the …

The lack of annotated training data in bioacoustics hinders the use of large-scale neural
network models trained in a supervised way. In order to leverage a large amount of …