{"data":[{"source":"bio.acousti.ca","id":"53274","type":"article","title":"NIPS4Bplus: a richly annotated birdsong audio dataset","author":"Morfi, Veronica; Bas, Yves; Pamu\u0142a, Hanna; Glotin, Herv\u00e9; Stowell, Dan","editor":null,"year":"2018","month":null,"journal":"arXiv preprint arXiv:1811.02275","booktitle":null,"series":null,"howpublished":null,"volume":null,"number":null,"pages":null,"chapter":null,"edition":null,"publisher":null,"organization":null,"institution":null,"school":null,"address":null,"type_of_work":null,"note":null,"isbn":null,"issn":null,"doi":null,"url":null,"attachments":"https:\/\/bio.acousti.ca\/sites\/default\/files\/1811.02275.pdf","keywords":"audio dataset; bird vocalisa- tions; ecoacoustics; ecosystems; rich annotations","abstract":"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.","type_name":"Journal Article","journal_abbreviation":null,"pmid":null,"info_url":"https:\/\/bio.acousti.ca\/node\/53274"}]}