The Use of Data Mining Methods for the Psychoacoustic Assessment of Noise in Urban Environment

Paszkowski, Waldemar

doi:10.5593/sgem2017/52/s20.135

Cited by 5 publications

(5 citation statements)

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“…The science of human sound perception is called psychoacoustics and it studies the connection between the physical variables (physics) of sound and our sensory perception (psychology), [113]. Research on the use of psychoacoustics in the classification of environmental noise sources is very limited, [114][115][116][117], although its applicability and importance in this field has been demonstrated in recent years by many studies, [118][119][120][121][122][123][124], and its implementation in the standard ISO/TS 12913-2: 2018.…”

Section: Source Classificationmentioning

confidence: 99%

Automated identification and assessment of environmental noise sources

Murovec

Čurović

Železnik

et al. 2023

Heliyon

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Section: Source Classificationmentioning

confidence: 99%

Automated identification and assessment of environmental noise sources

Murovec

Čurović

Železnik

et al. 2023

Heliyon

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“…This observation is even more visible in the case of the sharpness parameter. The sharpness values are higher in the range of 6-12 Barks for location (A), contrarily to higher frequencies in the Bark scale (14)(15)(16)(17)(18)(19)(20)(21)(22)(23)(24) where the sharpness values are larger for location (B). This is generally consistent with the sound tone for each location.…”

Section: Relative Comparative Analysis For Frequency Domainmentioning

confidence: 97%

“…Based on their study, they suggest that it is useful to take into account not only the exposure to the transportation noise in a residential neighbourhood but also at a residence, as well as the socioeconomic characteristics of a residential neighbourhood to explain variations in the subjectively perceived annoyance due to the road traffic in the neighbourhood. A recent work by one of the authors and his collaborators studied the problem of noise modelling of industrial and communication sources using data-mining algorithms, which help while dealing with many factors underlying noise assessment [19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Metrology and Measurement Systems

Paszkowski

Kotus

Poremski³

et al. 2018

Self Cite

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The paper shows a study on the relationship between noise measures and sound quality (SQ) features that are related to annoyance caused by the traffic noise. First, a methodology to perform analyses related to the traffic noise annoyance is described including references to parameters of the assessment of road noise sources. Next, the measurement setup, location and results are presented along with the derived sound quality features. Then, statistical analyses are performed to compare the measurement results and sound quality features. The included conclusions are focused on showing that the obtained loudness values, regardless of the used system, are similar in a statistical sense. Contrarily, sharpness, roughness and fluctuation strength values differ for the tools employed.

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“…In the field of acoustic quality assessment, research was carried out using advanced data processing methods (Paszkowski & Loska, 2017a;Paszkowski & Loska, 2017b;Paszkowski & Dąbrowski, 2017;Kosicka, Kozłowski, & Mazurkiewicz, 2015).…”

Section: Modeling the Acoustic Quality Of Urban Areasmentioning

confidence: 99%

The Use of Acoustic Quality Assessment in the Management of the Road Noise Reduction Project

Paszkowski¹

2018

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The article presents a new approach to the tasks of noise assessment and reduction in the urbanized environment endangered by road noise sources. It was proposed to include the acoustic quality model in the currently applied quantitative noise assessment in the management of urbanized environment. In particular, this model takes into account subjective features of sound quality, i.e.: loudness, sharpness, roughness, and fluctuation strength as well as noise annoyance assessment obtained in laboratory conditions. The proposed way can be used in estimating investment costs of an acoustic barrier at the design stage.Keywords: acoustic barrier, acoustic quality, noise management, noise reduction, urban areas * The paper is the result of statutory research carried out at the Institute of Production Engineering at the Faculty of Organization and Management of the Silesian University of Technology as part of a project number 13/030/BK_18/0039 called "Development of intelligent production methods as well as work and life environments in the context of production engineering challenges".

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The Use of Data Mining Methods for the Psychoacoustic Assessment of Noise in Urban Environment

Cited by 5 publications

References 0 publications

Automated identification and assessment of environmental noise sources

Automated identification and assessment of environmental noise sources

Metrology and Measurement Systems

The Use of Acoustic Quality Assessment in the Management of the Road Noise Reduction Project

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