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Main Title: DNLE: Dataset for Noise Level Estimation
Author(s): Rafael, Zequeira Jiménez
Other Contributor(s): Benedikt, Franke
Type: Audio
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.
Subject(s): background noise
environmental noise
noise dataset
Issue Date: 2021
Date Available: 12-Mar-2021
Language Code: en
DDC Class: 000 Informatik, Informationswissenschaft, allgemeine Werke
Sponsor/Funder: BMBF, 01IS17052, Software Campus 2.0 (TU Berlin)
TU Affiliation(s): Fak. 4 Elektrotechnik und Informatik » Inst. Softwaretechnik und Theoretische Informatik » Quality and Usability Lab
Appears in Collections:Technische Universität Berlin » Research Data

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