Noise Identification in Urban Cities Using Performance of Random Forest, KNN, and SVM

The definition of noise is any unwanted disturbance. The impact of urban noise on residents is a naturally significant issue, and in some regions, the rising noise level is regarded as a serious concern. Nevertheless, noise pollution can be reduced through improved urban planning and government regulations. However, the implementation of this form of intervention requires the use of an established noise surveillance infrastructure. This study investigates machine learning (ML) models for urban noise recognition.