Cargando…
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...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924541/ https://www.ncbi.nlm.nih.gov/pubmed/33816876 http://dx.doi.org/10.7717/peerj-cs.223 |
_version_ | 1783659110884966400 |
---|---|
author | Morfi, Veronica Bas, Yves Pamuła, Hanna Glotin, Hervé Stowell, Dan |
author_facet | Morfi, Veronica Bas, Yves Pamuła, Hanna Glotin, Hervé Stowell, Dan |
author_sort | Morfi, Veronica |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7924541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79245412021-04-02 NIPS4Bplus: a richly annotated birdsong audio dataset Morfi, Veronica Bas, Yves Pamuła, Hanna Glotin, Hervé Stowell, Dan PeerJ Comput Sci Bioinformatics 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. PeerJ Inc. 2019-10-07 /pmc/articles/PMC7924541/ /pubmed/33816876 http://dx.doi.org/10.7717/peerj-cs.223 Text en ©2019 Morfi et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Morfi, Veronica Bas, Yves Pamuła, Hanna Glotin, Hervé Stowell, Dan NIPS4Bplus: a richly annotated birdsong audio dataset |
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 | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924541/ https://www.ncbi.nlm.nih.gov/pubmed/33816876 http://dx.doi.org/10.7717/peerj-cs.223 |
work_keys_str_mv | AT morfiveronica nips4bplusarichlyannotatedbirdsongaudiodataset AT basyves nips4bplusarichlyannotatedbirdsongaudiodataset AT pamułahanna nips4bplusarichlyannotatedbirdsongaudiodataset AT glotinherve nips4bplusarichlyannotatedbirdsongaudiodataset AT stowelldan nips4bplusarichlyannotatedbirdsongaudiodataset |