Bird Detection In Audio: A Survey And A Challenge
Dan Stowell, Queen Mary University of London
Mike Wood, University of Salford
Yannis Stylianou, University of Crete
Hervé Glotin, Univ. of Toulon & Inst. Univ. de France

Abstract:
Many biological monitoring projects rely on acoustic detection of birds. Despite increasingly large datasets, this detection is often manual or semi-automatic, requiring manual tuning/postprocessing. We review the state of the art in automatic bird sound detection, and identify a widespread need for tuning-free and species-agnostic approaches. We introduce new datasets and an IEEE research challenge to address this need, to make possible the development of fully automatic algorithms for bird sound detection.