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THE USE OF DATA MINING METHODS FOR THE PSYCHOACOUSTIC ASSESSMENT OF NOISE IN URBAN ENVIRONMENT
Abstract
In studies on the assessment of the impact of environmental noise sources, depending on the objective set, there are used various supporting models and technologies. In the article, there was carried out the analysis of the selection of physical and psychoacoustic variables caused by the noise sources. They were determined the basic psychoacoustic measures of sound quality for registered acoustic signals in urban environment. The results were compared with the results obtained in the experiment. There was carried out the analysis of selection of input variables for the development of the model of the psychoacoustic assessment of noise, with the use of data mining methods, ie.: Principal Component Analysis and regression tree. The obtained results of the use of data maining methods were interpreted in the context of the results from the laboratory experiment done.
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