Bird detection in audio : a survey and a challenge

Stowell, D, Wood, M, Stylianou, Y and Glotin, H 2016, 'Bird detection in audio : a survey and a challenge' , Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing , pp. 1-6.

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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.

Item Type: Article
Schools: Schools > School of Environment and Life Sciences > Ecosystems and Environment Research Centre
Journal or Publication Title: Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing
Publisher: IEEE Computer Society
ISBN: 9781509007462
Funders: Natural Environment Research Council (NERC), Engineering and Physical Sciences Research Council (EPSRC)
Depositing User: Dr Mike Wood
Date Deposited: 18 Jan 2017 13:41
Last Modified: 08 Aug 2017 15:16
URI: http://usir.salford.ac.uk/id/eprint/41202

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