NIPS4Bplus: a richly annotated birdsong audio dataset

Publication Type:Journal Article
Year of Publication:2018
Authors:Morfi, Bas, Pamuła, Glotin, Stowell
Journal:arXiv preprint arXiv:1811.02275
Parole chiave:audio dataset, bird vocalisa- tions, ecoacoustics, ecosystems, rich annotations
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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.

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Scratchpads developed and conceived by (alphabetical): Ed Baker, Katherine Bouton Alice Heaton Dimitris Koureas, Laurence Livermore, Dave Roberts, Simon Rycroft, Ben Scott, Vince Smith