The aim of this master thesis project is to propose an Active Learning strategy for annotating multilabel bioacoustic data recorded using passive acoustic monitoring techniques. After a thorough review of the literature, you will implement both basic and state-of-the-art active learning strategies, adapt them to a multilabel scenario if necessary, and test them on passive acoustic monitoring datasets in terms of performance and usability.

Contact: Hannes Kath

Relevant Literature:

Leveraging transfer learning and active learning for data annotation in passive acoustic monitoring of wildlife (https://www.sciencedirect.com/science/article/pii/S1574954124002528?via%3Dihub)

A Survey on Active Learning: State-of-the-Art, Practical Challenges and Research Directions (https://www.mdpi.com/2227-7390/11/4/820)