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ADVANCED METHODS OF ACOUSTIC SIGNAL ANALYSIS IN ASSESSING NOISE ANNOYANCE IN AN URBANIZED ENVIRONMENT

Paszkowski, W.
Abstract:
In research are used objective and subjective sound features on the development of noise annoyance assessment model in urbanized environment. They represent a quantitative and qualitative evaluation of the acoustic signal. The relation of objective features in subjective features is the direction of research on the development of noise annoyance evaluation model developed for several years. The carrier of information about the characteristics of sound in the environment is an acoustic signal coming from noise sources. Advanced methods of acoustic signal analysis in the field of time and frequency allow to estimate the subjective characteristics of sound, ie loudness, sharpness, roughness and strength of fluctuations. The article presents the results of the application of selected methods of acoustic signal analysis in the evaluation of subjective sound characteristics. In particular, the use of the wavelet analysis method and the entropy method allows the analysis of signals from sources of road noise. The proposed methods of acoustic signal analysis can be applied in the modeling of noise annoyance in the urbanized environment.
SGEM Research areas:
Year:
2018
Type of Publication:
In Proceedings
Keywords:
sound quality; noise annoyance; modeling.
Volume:
18
SGEM Book title:
18th International Multidisciplinary Scientific GeoConference SGEM 2018
Book number:
6.3
SGEM Series:
International Multidisciplinary Scientific GeoConference-SGEM
Pages:
481-488
Publisher address:
51 Alexander Malinov blvd, Sofia, 1712, Bulgaria
SGEM supporters:
Bulgarian Acad Sci; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Slovak Acad Sci; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; World Acad Sci; European Acad Sci, Arts & Letters; Ac
Period:
02-08 July, 2018
ISBN:
978-619-7408-52-2
ISSN:
1314-2704
Conference:
18th International Multidisciplinary Scientific GeoConference SGEM 2018, 02-08 July, 2018
DOI:
10.5593/sgem2018/6.3/S27.062
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