Bird detection in audio: a survey and a challenge
Sound
2024-02-01 v1
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.
Keywords
Cite
@article{arxiv.1608.03417,
title = {Bird detection in audio: a survey and a challenge},
author = {Dan Stowell and Mike Wood and Yannis Stylianou and Hervé Glotin},
journal= {arXiv preprint arXiv:1608.03417},
year = {2024}
}
Comments
Slightly extended preprint of paper accepted for MLSP 2016