Methodology for characterization, evaluation and optimization of acoustic environments

Pavón García, Ignacio and Asensio Rivera, César and Villazón, C. and Hermida, L. F. (2016). Methodology for characterization, evaluation and optimization of acoustic environments. In: "Industriales Research Meeting 2016", 20 abril 2016, Madrid, España. ISBN 978-84-16397-31-0. p. 32.

Description

Title: Methodology for characterization, evaluation and optimization of acoustic environments
Author/s:
  • Pavón García, Ignacio
  • Asensio Rivera, César
  • Villazón, C.
  • Hermida, L. F.
Item Type: Presentation at Congress or Conference (Poster)
Event Title: Industriales Research Meeting 2016
Event Dates: 20 abril 2016
Event Location: Madrid, España
Title of Book: Industriales Research Meeting 2016
Date: 2016
ISBN: 978-84-16397-31-0
Subjects:
Faculty: E.T.S.I. Industriales (UPM)
Department: Ingeniería Mecánica
UPM's Research Group: Investigación en Instrumentación y Acústica Aplicada I2A2
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Currently we are working on methodologies to characterize, evaluate and optimize acoustic environments with different approaches. One methodology is based on the evaluation of temporal energetic behavior of acoustic environment through the use of parameters associated with the autocorrelation function (ACF). In this case the main objective is to verify the variability of the temporal behavior of urban acoustic environment depending of sounds sources that are part of them. We evaluate the temporal energetic behavior in 10 urban acoustic environments using ACF in two main cities, Brasilia (Brazil) and Bogotá (Colombia). The second methodology is based on the design of an experiment to improve and optimize acoustic environments on the basis of the auditory subjective experiences of the people. It has been designed a LabVIEW application for psychoacoustic laboratory tests to evaluate the subjective perception of people. The main objective is to evaluate how adding sound signals in acoustics environments with traffic noise couls improve the experience of the users.

More information

Item ID: 46878
DC Identifier: http://oa.upm.es/46878/
OAI Identifier: oai:oa.upm.es:46878
Official URL: http://www.industriales.upm.es/investigacion/irm16/index.es.htm
Deposited by: Memoria Investigacion
Deposited on: 21 Jun 2017 15:52
Last Modified: 21 Jun 2017 15:52
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