Application of the SVM algorithm for the development of a model classification of the visual and sound landscape

To ensure adequate management of the soundscape in urban environments, urban planning authorities need a range of tools that enable them to perform this condition. Analyzing and classifying a soundscape is necessary to adapt it to the expectations of the people who inhabit it. The term “soundscape” is associated with three different research areas: ecology/anthropology, music/sound design and architecture/urbanism. In particular, in this paper, the third research area will be investigated, finding a correlation model between auditory and visual sensations of the urban landscape of the port of Ancona. The classification model that is used is the Support Vector Machines (SVM) which is proposed as a tool for a global assessment of the urban sound landscape. In this case study the algorithm is intended for the automatic classification of the sound landscape of the port of Ancona to understand how the sound perception affects the visual one.