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.

Authors: Segura, Jaume; Felici, Santiago; Cobos, Maximo; Torres, Ana; Navarro, Juan M.
Affiliations: Universitat de Valencia, Burjassot, Valencia, Spain; Polytechic University School of Cuenca, Cuenca, Spain; Universidad Católica San Antonio - Murcia, Guadalupe (Murcia), Spain(See document for exact affiliation information.)
AES Convention: 138 (May 2015) Paper Number: 9234
Publication Date: May 6, 2015
Subject: Education and Perception

Click to purchase paper as a non-member or you can login as an AES member to see more options.

No AES members have commented on this paper yet.

Subscribe to this discussion

To be notified of new comments on this paper you can subscribe to this RSS feed. Forum users should login to see additional options.

Start a discussion!

If you would like to start a discussion about this paper and are an AES member then you can login here:
Username:
Password:

If you are not yet an AES member and have something important to say about this paper then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.