Acoustics, Analysis & AI (3AI)

The Acoustics, Analysis & AI (3AI) group at the IT:U Austria in Linz explores how mathematics, acoustics, and artificial intelligence can work together. We study interpretable, hybrid AI systems for sound analysis—combining deep learning with mathematical structure and human insight. Our research ranges from signal processing and hearing models to bioacoustics and mathematical foundations, aiming to bridge human and machine understanding of acoustic phenomena.

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Development of bioacoustics and movement monitoring collar mounted sensors for African Savannah elephants (Loxodonta Africana) – MSc thesis project

Collar-mounted wildlife sensors enable continuous, minimally invasive monitoring of behavior, habitat use, and inter-individual acoustic communication. Yet, attributing specific vocalizations to the correct individual in free-ranging groups remains challenging when audio is collected without tightly synchronized motion and position data. The candidate in this project will design and prototype a field-ready elephant collar that integrates wide-band […]

Development of sound event annotating tool with incorporated few-shot and active learning – MSc thesis project

The use of long-term autonomous recorders has been steadily increasing over the past few decades in the field of bioacoustics. This means that wildlife researchers and bioacousticians are collecting thousands of hours of recordings, after which they manually extract sound events of their interest. Although the development and use of machine learning algorithms for automatic […]