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MODELING OF SOUND FEATURES FROM SIGNALS OF TECHNICAL OBJECTS IN THE ENVIRONMENT OF ROAD NOISE POLLUTION

Waldemar Paszkowski

First published: 2018-06-20https://doi.org/10.5593/sgem2018/5.1/s20.070View metrics

Abstract

The article presents a way of identifying and modeling sound features in an urbanized environment. The subject of article is focused on the problem of noise pollution modeling coming from moving technical objects, i.e. vehicles that are potential sources of noise. In this case, the vehicles are treated as multi-source acoustic energy emission objects. The proposed approach assumes the occurrence of variable relations in the system: source-path propagation-receiver. In the presented method the information carrier is registered acoustic signal in the receiver. In general, in the case of road noise we deal with non-stationary signals over time, characterized by a variable frequency of acoustic events and sound levels. Information derived from the acoustic signal in time and frequency domain can be represented by appropriate quantitative and qualitative features. In particular, the proposed method takes into consideration the objective and subjective representation of the space of sound features reflecting the state of noise pollution in the environment. In order to determine the noise pollution assessment, it was assumed to use the patterns of representation of the acoustic signal features. The effect of the research will be the elaboration of the methodology for evaluation of pollution of road noise with the use of subjective sound features.

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Publication details

Title
MODELING OF SOUND FEATURES FROM SIGNALS OF TECHNICAL OBJECTS IN THE ENVIRONMENT OF ROAD NOISE POLLUTION
Authors
Waldemar Paszkowski
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Ecology, Economics, Education and Legislation
Publisher
STEF92 Technology
Year
2018
Pages
541-548
SWS Citekey
Paszkowski201820541548
ISSN
1314-2704
ISBN
978-619-7408-46-1
Language
en
Publication type
Conference Paper
Keywords
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