arXiv · 1608.03417
Bird detection in audio: a survey and a challenge
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.
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Dan Stowell, Mike Wood, Yannis Stylianou, Hervé Glotin. 2016-08-11. Bird detection in audio: a survey and a challenge. https://doi.org/10.1109/mlsp.2016.7738875
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