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Sensors 2018, 18(3), 690; doi:10.3390/s18030690

Spatio-Temporal Analysis of Urban Acoustic Environments with Binaural Psycho-Acoustical Considerations for IoT-Based Applications

Computer Science Department, Escola Tècnica Superior d’Enginyeria, Universitat de València, 46100 Burjassot, Spain
Grupo de Investigación en Telecomunicaciones Avanzadas (GRITA), Universidad Católica de Murcia (UCAM), 30107 Guadalupe, Spain
Departamento de Ingeniería Eléctrica, Electrónica, Automática y Comunicaciones, Escuela Politécnica de Cuenca (Universidad de Castilla-La Mancha), 16071 Cuenca, Spain
Author to whom correspondence should be addressed.
Received: 18 January 2018 / Revised: 14 February 2018 / Accepted: 21 February 2018 / Published: 26 February 2018
(This article belongs to the Special Issue Sensor Networks for Environmental Observations)
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Sound 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. View Full-Text
Keywords: acoustic environment; soundscape; WASN; psychoacoustics; IoT; spatial statistics acoustic environment; soundscape; WASN; psychoacoustics; IoT; spatial statistics

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Segura-Garcia, J.; Navarro-Ruiz, J.M.; Perez-Solano, J.J.; Montoya-Belmonte, J.; Felici-Castell, S.; Cobos, M.; Torres-Aranda, A.M. Spatio-Temporal Analysis of Urban Acoustic Environments with Binaural Psycho-Acoustical Considerations for IoT-Based Applications. Sensors 2018, 18, 690.

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