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Evaluating Acoustic Features from Environmental Audio Recordings via Web. A Crowdsourcing Survey on Background Noise Characteristics
Citation key zequeirajimenez2019d
Author Zequeira Jiménez, Rafael and Naderi, Babak and Möller, Sebastian
Title of Book 45. Deutsche Jahrestagung für Akustik (DAGA 2019)
Pages 1190–1193
Year 2019
ISBN 978-3-939296-14-0
Month mar
Publisher Deutsche Gesellschaft für Akustik DEGA e.V.
How Published Fullpaper
Abstract Crowdsourcing permits to reach a large pool of users for gathering and annotating data in an efficient and cost effective manner. In a crowdsourcing context, users employ their own hardware to execute the tasks from the comfort of their environment. However, there is too little information about the users' background noise and environment characteristics, which is mandatory to judge the validity of the data being collected. Specially, in speech quality assessment and audio related tasks. There have been some attempts to investigate the conditions in which users from English speaking countries, India and Asia conduct crowdsourcing tasks, yet any effort have been made regarding the German crowd-workers. To address this issue, a study in a German-based crowdsourcing platform has been conducted. Users answered questions regarding the environment in which they normally execute crowdsourcing tasks. Additionally, while conducting the survey, audio and visual data was collected to validate the submitted answers. This paper reports about the environment conditions in which crowdsourcing tasks are being executed. And we evaluate whether the wavelet time scattering and MFCC features derived from the collected background noise files, are any good to predict the workers environment background noise.
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