NIPS4Bplus: a richly annotated birdsong audio dataset
Recent advances in birdsong detection and classification have approached a limit due to the lack of fully annotated recordings. In this paper, we present NIPS4Bplus, the first richly annotated birdsong audio dataset, that is comprised of recordings containing bird vocalisations along with their acti...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2019-10-01
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| Series: | PeerJ Computer Science |
| Subjects: | |
| Online Access: | https://peerj.com/articles/cs-223.pdf |
| _version_ | 1811263033343737856 |
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| author | Veronica Morfi Yves Bas Hanna Pamuła Hervé Glotin Dan Stowell |
| author_facet | Veronica Morfi Yves Bas Hanna Pamuła Hervé Glotin Dan Stowell |
| author_sort | Veronica Morfi |
| collection | DOAJ |
| description | Recent advances in birdsong detection and classification have approached a limit due to the lack of fully annotated recordings. In this paper, we present NIPS4Bplus, the first richly annotated birdsong audio dataset, that is comprised of recordings containing bird vocalisations along with their active species tags plus the temporal annotations acquired for them. Statistical information about the recordings, their species specific 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 population monitoring, species classification, birdsong vocalisation detection and classification. |
| first_indexed | 2024-04-12T19:37:40Z |
| format | Article |
| id | doaj.art-63a64aaa041c4de69d89c2023029a2c2 |
| institution | Directory Open Access Journal |
| issn | 2376-5992 |
| language | English |
| last_indexed | 2024-04-12T19:37:40Z |
| publishDate | 2019-10-01 |
| publisher | PeerJ Inc. |
| record_format | Article |
| series | PeerJ Computer Science |
| spelling | doaj.art-63a64aaa041c4de69d89c2023029a2c22022-12-22T03:19:10ZengPeerJ Inc.PeerJ Computer Science2376-59922019-10-015e22310.7717/peerj-cs.223NIPS4Bplus: a richly annotated birdsong audio datasetVeronica Morfi0Yves Bas1Hanna Pamuła2Hervé Glotin3Dan Stowell4Machine Listening Lab, Centre for Digital Music (C4DM), Department of Electronic Engineering and Computer Science, Queen Mary University of London, London, United KingdomCentre d’Ecologie et des Sciences de la Conservation (CESCO), Muséum National d’Histoire Naturelle, CNRS, Sorbonne Université, Paris, FranceDepartment of Mechanics and Vibroacoustics, AGH University of Science and Technology, Kraków, PolandCNRS, LIS, DYNI team, SABIOD, Université de Toulon (UTLN), Aix Marseille Université (AMU), Marseille, FranceMachine Listening Lab, Centre for Digital Music (C4DM), Department of Electronic Engineering and Computer Science, Queen Mary University of London, London, United KingdomRecent advances in birdsong detection and classification have approached a limit due to the lack of fully annotated recordings. In this paper, we present NIPS4Bplus, the first richly annotated birdsong audio dataset, that is comprised of recordings containing bird vocalisations along with their active species tags plus the temporal annotations acquired for them. Statistical information about the recordings, their species specific 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 population monitoring, species classification, birdsong vocalisation detection and classification.https://peerj.com/articles/cs-223.pdfAudio datasetBird vocalisationsEcosystemsEcoacousticsRich annotationsBioinformatics |
| spellingShingle | Veronica Morfi Yves Bas Hanna Pamuła Hervé Glotin Dan Stowell NIPS4Bplus: a richly annotated birdsong audio dataset PeerJ Computer Science Audio dataset Bird vocalisations Ecosystems Ecoacoustics Rich annotations Bioinformatics |
| title | NIPS4Bplus: a richly annotated birdsong audio dataset |
| title_full | NIPS4Bplus: a richly annotated birdsong audio dataset |
| title_fullStr | NIPS4Bplus: a richly annotated birdsong audio dataset |
| title_full_unstemmed | NIPS4Bplus: a richly annotated birdsong audio dataset |
| title_short | NIPS4Bplus: a richly annotated birdsong audio dataset |
| title_sort | nips4bplus a richly annotated birdsong audio dataset |
| topic | Audio dataset Bird vocalisations Ecosystems Ecoacoustics Rich annotations Bioinformatics |
| url | https://peerj.com/articles/cs-223.pdf |
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