0000000000444996

AUTHOR

Juan M. Navarro

0000-0002-1409-8745

showing 3 related works from this author

A Wireless Acoustic Array System for Binaural Loudness Evaluation in Cities

2017

Networks of acoustic sensors are being deployed in smart cities to continuously monitor noise levels. In this paper, a novel acoustic sensor device is designed for binaural loudness evaluation, in a standalone platform. The audio is acquired from an array of microphones and a binaural signal is synthesized by a direction-of-arrival algorithm and a head-related transfer function. Hardware setup and software algorithms are presented and the results are discussed. Finally, the tests conducted in an early deployment show the feasibility of using the device to carry out large temporal and spatial sampling for the evaluation of binaural loudness.

Engineeringbusiness.industryAcoustics010401 analytical chemistry020206 networking & telecommunications02 engineering and technology01 natural sciencesSignal0104 chemical sciencesTime–frequency analysisLoudnessNoiseSoftwareSampling (signal processing)0202 electrical engineering electronic engineering information engineeringWirelessElectrical and Electronic EngineeringbusinessInstrumentationBinaural recordingIEEE Sensors Journal
researchProduct

Cumulative-Sum-Based Localization of Sound Events in Low-Cost Wireless Acoustic Sensor Networks

2014

Wireless acoustic sensor networks (WASNs) are known for their potential applications in multiple areas, such as audio-based surveillance, binaural hearing aids or advanced acoustic monitoring. The knowledge of the spatial position of a source of interest is usually a requirement for many of these applications. Therefore, source localization is an important problem to be addressed in WASNs. Unfortunately, most localization algorithms need costly signal processing stages that prevent them from being implemented in low-cost sensor networks, requiring additional modules for signal acquisition and processing. This paper presents a low-complexity method for acoustic event detection and localizati…

Sound localizationSignal processingAcoustics and UltrasonicsComputer sciencebusiness.industrySpeech recognitionNode (networking)Real-time computingCUSUMComputational MathematicsSoftware deploymentComputer Science (miscellaneous)WirelessElectrical and Electronic EngineeringbusinessWireless sensor networkChange detectionIEEE/ACM Transactions on Audio, Speech, and Language Processing
researchProduct

Low-Cost Alternatives for Urban Noise Nuisance Monitoring Using Wireless Sensor Networks

2015

Noise pollution caused by vehicular traffic is a common problem in urban environments that has been shown to affect people's health and children's cognition. In the last decade, several studies have been conducted to assess this noise, by measuring the equivalent noise pressure level (called L eq ) to acquire an accurate sound map using wireless networks with acoustic sensors. However, even with similar values of L eq , people can feel the noise differently according to its frequency characteristics. Thus, indexes, which can express people's feelings by subjective measures, are required. In this paper, we analyze the suitability of using the psychoacoustic metrics given by the Zwicker's mod…

Engineeringbusiness.industryWireless networkNoise pollutionReal-time computingAnnoyanceBackground noiseNoiseElectronic engineeringWirelessPsychoacousticsElectrical and Electronic EngineeringbusinessInstrumentationWireless sensor networkIEEE Sensors Journal
researchProduct