@article {53274,
	title = {NIPS4Bplus: a richly annotated birdsong audio dataset},
	journal = {arXiv preprint arXiv:1811.02275},
	year = {2018},
	abstract = {<p>Recent advances in birdsong detection and classification have approached a limit due to the lack of fully annotated record- ings. In this paper, we present NIPS4Bplus, the first richly annotated birdsong audio dataset, that is comprised of record- ings containing bird vocalisations along with their active species tags plus the temporal annotations acquired for them. Statistical information about the recordings, their species spe- cific tags and their temporal annotations are presented along with example uses. NIPS4Bplus could be used in various ecoacoustic tasks, such as training models for bird popula- tion monitoring, species classification, birdsong vocalisation detection and classification.</p>
},
	keywords = {audio dataset, bird vocalisa- tions, ecoacoustics, ecosystems, rich annotations},
	author = {Morfi, Veronica and Bas, Yves and Pamu{\l}a, Hanna and Glotin, Herv{\'e} and Stowell, Dan}
}
