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Psychoacoustic Annoyance Monitoring with WASN for Assessment in Urban Areas

The assessment of the subjective annoyance caused by noise pollution in cities is a matter of major importance as its influence is growing-up in urban areas. Different methods and techniques have been used to model this annoyance in terms of several psychoacoustic parameters, which define different aspects of the acoustic affection from noise pollution in the human behavior. In this paper we describe a monitoring system based on a wireless acoustic sensor network that measures and computes the psychoacoustic metrics following the Zwicker's annoyance model, in a distributed way and at different points simultaneously in urban areas. The nodes of this network run complex algorithms to find out these metrics. These nodes are Single-Board Computer platforms, in particular Raspberry Pi.

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