Smart City Gnosys

Smart city article details

Title	Sound Analysis In Smart Cities
ID_Doc	52316
Authors	Bello J.P.; Mydlarz C.; Salamon J.
Year	2017
Published	Computational Analysis of Sound Scenes and Events
DOI	http://dx.doi.org/10.1007/978-3-319-63450-0_13
Abstract	This chapter introduces the concept of smart cities and discusses the importance of sound as a source of information about urban life. It describes a wide range of applications for the computational analysis of urban sounds and focuses on two high-impact areas, audio surveillance, and noise pollution monitoring, which sit at the intersection of dense sensor networks and machine listening. For sensor networks we focus on the pros and cons of mobile versus static sensing strategies, and the description of a low-cost solution to acoustic sensing that supports distributed machine listening. For sound event detection and classification we focus on the challenges presented by this task, solutions including feature design and learning strategies, and how a combination of convolutional networks and data augmentation result in the current state of the art. We close with a discussion about the potential and challenges of mobile sensing, the limitations imposed by the data currently available for research, and a few areas for future exploration. © Springer International Publishing AG 2018. All rights reserved.
Author Keywords	Acoustic sensing; Audio surveillance; Convolutional neural networks; Data augmentation; Deep learning; Internet of things (IOT); Machine learning; Machine listening; MEMS microphone; Noise monitoring; Sensor network; Smart cities; Sound classification; Sound event detection; Urban sound

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