Psychoacoustic Annoyance Monitoring with WASN for Assessment in Urban Areas
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J. Segura, S. Felici, M. Cobos, A. Torres, and JU. M.. Navarro, "Psychoacoustic Annoyance Monitoring with WASN for Assessment in Urban Areas," Paper 9234, (2015 May.). doi:
J. Segura, S. Felici, M. Cobos, A. Torres, and JU. M.. Navarro, "Psychoacoustic Annoyance Monitoring with WASN for Assessment in Urban Areas," Paper 9234, (2015 May.). doi:
Abstract: 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.
@article{segura2015psychoacoustic,
author={segura, jaume and felici, santiago and cobos, maximo and torres, ana and navarro, juan m.},
journal={journal of the audio engineering society},
title={psychoacoustic annoyance monitoring with wasn for assessment in urban areas},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},}
@article{segura2015psychoacoustic,
author={segura, jaume and felici, santiago and cobos, maximo and torres, ana and navarro, juan m.},
journal={journal of the audio engineering society},
title={psychoacoustic annoyance monitoring with wasn for assessment in urban areas},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={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.},}
TY - paper
TI - Psychoacoustic Annoyance Monitoring with WASN for Assessment in Urban Areas
SP -
EP -
AU - Segura, Jaume
AU - Felici, Santiago
AU - Cobos, Maximo
AU - Torres, Ana
AU - Navarro, Juan M.
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015
TY - paper
TI - Psychoacoustic Annoyance Monitoring with WASN for Assessment in Urban Areas
SP -
EP -
AU - Segura, Jaume
AU - Felici, Santiago
AU - Cobos, Maximo
AU - Torres, Ana
AU - Navarro, Juan M.
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015
AB - 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.
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, 2015Import into BibTeX
Subject:
Education and Perception
Permalink:
http://www.aes.org/e-lib/browse.cfm?elib=17658