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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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YouTube-ASMR-300K

Research datakeyboard_double_arrow_right Dataset 11 Jun 2020Publisher:Zenodo
Authors: Yang, Karren; Russell, Bryan; Salamon, Justin;

doi: 10.5281/zenodo.3889167 , 10.5281/zenodo.3889168

YouTube-ASMR-300K

Abstract

The YouTube-ASMR dataset contains URLS for over 900 hours of ASMR video clips with stereo/binaural audio produced by various YouTube artists. The following paper contains a detailed description of the dataset and how it was compiled: K. Yang, B. Russell and J. Salamon, "Telling Left from Right: Learning Spatial Correspondence of Sight and Sound", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Virtual Conference, June 2020.

Related Organizations
Keywords

ASMR, stereo audio, audio, binaural audio, video

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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