6533b861fe1ef96bd12c43df

RESEARCH PRODUCT

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

Juan J. Pérez-solanoJose Montoya-belmonteJaume Segura-garciaJuan Miguel Navarro-ruizMaximo CobosAna M Torres-arandaSantiago Felici-castell

subject

SoundscapeMicrophone arrayIoTComputer sciencesoundscapeBinauralReal-time computingInternet of ThingsAnnoyance02 engineering and technologylcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical ChemistryLoudnessspatial statisticsWASN0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185PsychoacousticsElectrical and Electronic EngineeringAcousticSound pressureInstrumentationacoustic environment010401 analytical chemistry020206 networking & telecommunicationspsychoacousticsLoudnessAtomic and Molecular Physics and Optics0104 chemical sciencesacoustic environment; soundscape; WASN; psychoacoustics; IoT; spatial statisticsSmart CitiesBinaural recording

description

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. Ingeniería, Industria y Construcción

10.3390/s18030690https://dx.doi.org/10.3390/s18030690