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Bello, J. P., Mydlarz, C., & Salamon, J. (2018). Sound analysis in smart cities. In T. Virtanen, M. D. Plumbley & D. Ellis (Eds), Computational Analysis of Sound Scenes and Events (pp. 373–397). Cham: Springer International Publishing. 
Added by: Mark Grimshaw-Aagaard (5/3/22, 9:14 AM)   Last edited by: Mark Grimshaw-Aagaard (5/3/22, 9:23 AM)
Resource type: Book Article
DOI: 10.1007/978-3-319-63450-0_13
ID no. (ISBN etc.): 978-3-319-63450-0
BibTeX citation key: Bello2018
View all bibliographic details
Categories: General
Keywords: Soundscape, Ultrasound, Urban
Creators: Bello, Ellis, Mydlarz, Plumbley, Salamon, Virtanen
Publisher: Springer International Publishing (Cham)
Collection: Computational Analysis of Sound Scenes and Events
Views: 7/7
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.
  
Notes
NB Attachment is the entire book available at the URL listed here.
Added by: Mark Grimshaw-Aagaard  Last edited by: Mark Grimshaw-Aagaard
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