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dc.contributor.authorNavarro, Juan Miguel
dc.contributor.authorCobos, M.
dc.contributor.authorSegura García, J.
dc.contributor.authorMontoya Belmonte, J.
dc.contributor.authorFelici Castell, S.
dc.contributor.authorTorres Aranda, A. M.
dc.contributor.authorPérez Solano, J. J.
dc.date.accessioned2018-04-25T15:06:03Z
dc.date.available2018-04-25T15:06:03Z
dc.date.issued2018
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10952/2975
dc.description.abstractSound pleasantness or annoyance perceived in urban soundscapes is a major concern in environmental acoustics. Binaural psychoacoustic parameters are helpful to describe generic acoustic environments, as it is stated within the ISO 12913 framework. In this paper, the application of a Wireless Acoustic Sensor Network (WASN) to evaluate the spatial distribution and the evolution of urban acoustic environments is described. Two experiments are presented using an indoor and an outdoor deployment of a WASN with several nodes using an Internet of Things (IoT) environment to collect audio data and calculate meaningful parameters such as the sound pressure level, binaural loudness and binaural sharpness. A chunk of audio is recorded in each node periodically with a microphone array and the binaural rendering is conducted by exploiting the estimated directional characteristics of the incoming sound by means of DOA estimation. Each node computes the parameters in a different location and sends the values to a cloud-based broker structure that allows spatial statistical analysis through Kriging techniques. A cross-validation analysis is also performed to confirm the usefulness of the proposed system.es
dc.language.isoenes
dc.publisherMDPIes
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectIoTes
dc.subjectAcoustices
dc.subjectSmart Citieses
dc.subjectLoudnesses
dc.subjectBinaurales
dc.subjectInternet of Thingses
dc.titleSpatio-Temporal Analysis of Urban Acoustic Environments with Binaural Psycho-Acoustical Considerations for IoT-based Applicationses
dc.typearticlees
dc.rights.accessRightsopenAccesses
dc.journal.titleSensorses
dc.volume.number18es
dc.issue.number3es
dc.description.disciplineIngeniería, Industria y Construcciónes


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional