Research and Development of a Sound Pattern Classifier in Complex Urban Acoustic Environments

The paper reviews the existing methods of sound pattern classification, their application areas, advantages and disadvantages, as well as presents the sources of data set to implement training and testing of these models. data preprocessing, including analysis, feature extraction and visualization of sound patterns is considered, and a summary table will be compiled to determine the most effective of the considered methods. A sound pattern recognition model was developed and a comparative evaluation of the developed model with the existing models was done.