| Literature DB >> 33816876 |
Veronica Morfi1, Yves Bas2,3, Hanna Pamuła4, Hervé Glotin5, Dan Stowell1.
Abstract
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. ©2019 Morfi et al.Entities:
Keywords: Audio dataset; Audio signal processing; Bioacoustics; Bioinformatics; Bird vocalisations; Ecoacoustics; Ecosystems; Rich annotations
Year: 2019 PMID: 33816876 PMCID: PMC7924541 DOI: 10.7717/peerj-cs.223
Source DB: PubMed Journal: PeerJ Comput Sci ISSN: 2376-5992