DNLE: Dataset for Noise Level Estimation

Rafael, Zequeira Jiménez

DNLE: Dataset for Noise Level Estimation

dc.contributor.author	Rafael, Zequeira Jiménez
dc.contributor.other	Benedikt, Franke
dc.date.accessioned	2021-03-12T09:04:51Z
dc.date.available	2021-03-12T09:04:51Z
dc.date.issued	2021
dc.description.abstract	The DNLE dataset contains 1668 environmental background noise recordings labeled according to type and level of noise. The recordings are approximately equally balanced between three main categories, i.e., "mechanic", "melodic", and "quiet". These noise categories were selected as we found in a previous study that these are the background noises that can distract users in crowdsourcing when performing tasks. The recordings were collected through the audio-web API employing different Windows and Mac computers.	en
dc.description.sponsorship	BMBF, 01IS17052, Software Campus 2.0 (TU Berlin)	en
dc.identifier.uri	https://depositonce.tu-berlin.de/handle/11303/12788
dc.identifier.uri	http://dx.doi.org/10.14279/depositonce-11588
dc.language.iso	en	en
dc.rights.uri	https://choosealicense.com/licenses/mit/	en
dc.subject.ddc	000 Informatik, Informationswissenschaft, allgemeine Werke	de
dc.subject.other	background noise	en
dc.subject.other	environmental noise	en
dc.subject.other	noise dataset	en
dc.title	DNLE: Dataset for Noise Level Estimation	en
dc.type	Audio	en
tub.accessrights.dnb	unknown	*
tub.affiliation	Fak. 4 Elektrotechnik und Informatik::Inst. Softwaretechnik und Theoretische Informatik::Quality and Usability Lab	de
tub.affiliation.faculty	Fak. 4 Elektrotechnik und Informatik	de
tub.affiliation.group	Quality and Usability Lab	de
tub.affiliation.institute	Inst. Softwaretechnik und Theoretische Informatik	de