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Automated identification and assessment of environmental noise sources
ID Murovec, Jure (Author), ID Čurović, Luka (Author), ID Železnik, Anže (Author), ID Prezelj, Jurij (Author)

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Abstract
Noise pollution is one of the major health risks in urban life. The approach to measurement and identification of noise sources needs to be improved and enhanced to reduce high costs. Long measurement times and the need for expensive equipment and trained personnel must be automated. Simplifying the identification of main noise sources and excluding residual and background noise allows more effective measures. By spatially filtering the acoustic scene and combining unsupervised learning with psychoacoustic features, this paper presents a prototype system capable of automated calculation of the contribution of individual noise sources to the total noise level. Pilot measurements were performed at three different locations in the city of Ljubljana, Slovenia. Equivalent sound pressure levels obtained with the device were compared to the results obtained by manually marking individual parts of each of the three measurements. The proposed approach correctly identified the main noise sources in the vicinity of the measurement points.

Language:English
Keywords:immission directivity, spatial filtering, noise source classification, environmental noise, microphone arrays, automatization of measurements
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FS - Faculty of Mechanical Engineering
Publication status in journal:Published
Article version:Publisher's version of article
Publication date:01.01.2023
Year:2023
Number of pages:17 str.
Numbering:Vol. 9, iss. 1, art. e12846
PID:20.500.12556/RUL-143938 This link opens in a new window
UDC:534
ISSN on article:2405-8440
DOI:10.1016/j.heliyon.2023.e12846 This link opens in a new window
COBISS.SI-ID:137356803 This link opens in a new window
Publication date in RUL:20.01.2023
Views:60
Downloads:35
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Record is a part of a journal

Title:Heliyon
Publisher:Elsevier
ISSN:2405-8440
COBISS.SI-ID:21607432 This link opens in a new window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.

Secondary language

Language:Slovenian
Keywords:usmerjenost imisije, prostorsko filtriranje, klasifikacija virov hrupa, hrup v okolju, mikrofonske antene, avtomatizacija meritev

Projects

Funder:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Project number:P2-0401
Name:Energetsko strojništvo

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