Acoustic scene classification (ASC) has gained significant interest recently due to its diverse
applications. Various audio signal processing and machine learning methods have been …

The number of publications on acoustic scene classification (ASC) in environmental audio
recordings has constantly increased over the last few years. This was mainly stimulated by …

Mel-filterbanks are fixed, engineered audio features which emulate human perception and
have been used through the history of audio understanding up to today. However, their …

An Introduction to Audio Content Analysis Enables readers to understand the algorithmic
analysis of musical audio signals with AI-driven approaches An Introduction to Audio …

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 …

This paper addresses the problem of species classification in bird song recordings. The
massive amount of available field recordings of birds presents an opportunity to use …

Modern deep learning-based models have seen outstanding performance improvement with
speech enhancement tasks. The number of parameters of state-of-the-art models, however …

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 …

Monitoring small, mobile organisms is crucial for science and conservation, but is technically
challenging. Migratory birds are prime examples, often undertaking nocturnal movements of …

Few-shot bioacoustic event detection is a novel area of research that emerged from a need
in monitoring biodiversity and animal behaviour: to annotate long recordings, that experts …