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Bird detection in audio: A survey and a challenge
2016
2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP)
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.
doi:10.1109/mlsp.2016.7738875
dblp:conf/mlsp/StowellWSG16
fatcat:rhvxdlxmc5c2jdzfh42ivsz6wm