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Dataset . 2018
License: CC BY
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2018
License: CC BY
Data sources: Datacite
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Evaluation Datasets For Dcase 2018 Bird Audio Detection

Authors: Stowell, Dan; Pamuɫa, Hanna; Wood, Mike;

Evaluation Datasets For Dcase 2018 Bird Audio Detection

Abstract

Evaluation data audio for the DCASE 2018 Bird Audio Detection task (Task 3). Crowdsourced dataset, UK ("warblrb10k") - a held-out set of 2,000 recordings from the same conditions as the Warblr development dataset. Remote monitoring dataset, Chernobyl ("Chernobyl") - 6,620 audio clips collected from unattended remote monitoring equipment in the Chernobyl Exclusion Zone (CEZ). This data was collected as part of the TREE (Transfer-Exposure-Effects) research project into the long-term effects of the Chernobyl accident on local ecology. The audio covers a range of birds and includes weather, large mammal and insect noise sampled across various CEZ environments, including abandoned village, grassland and forest areas. Remote monitoring night-flight calls, Poland ("PolandNFC") - 4,000 recordings from Hanna Pamuɫa's PhD project of monitoring autumn nocturnal bird migration. The recordings were collected every night, from September to November 2016 on the Baltic Sea coast, Poland, using Song Meter SM2 units with microphones mounted on 3–5 m poles. For this challenge, we use a subset derived from 15 nights with different weather conditions and background noise including wind, rain, sea noise, insect calls, human voice and deer calls.

Keywords

bioacoustics, dcase, bird audio detection, ornithology, machine listening, ecology, acoustic signal detection, remote monitoring

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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