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Title	Ai-Based Sound Event Detection On Iot Nodes: Requirements Evaluation
ID_Doc	7009
Authors	Errico D.; Re M.; Colombo V.; Cardarilli G.C.; Martina M.; Roch M.R.
Year	2023
Published	Lecture Notes in Electrical Engineering, 1036 LNEE
DOI	http://dx.doi.org/10.1007/978-3-031-30333-3_18
Abstract	Sensors capable to detect specific audio events can be deployed inside smart cities, to improve citizens safety. A sensor cloud would allow to georeference relevant incidents, like screams, car crashes, or gunshots. An IoT based approach requires the development and deployment of smart nodes combining minimal power consumption and reasonable preprocessing capabilities, to minimize both power supply requirements and the amount of transmitted data. In this work, a possible system architecture is presented, and a detailed analysis of IA approaches to sound event detection is carried-out. Optimizations for IoT nodes deployments are then applied, and a performance comparison to current algorithms is presented. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Author Keywords	Artificial intelligence; Audio event; Safety; Smart city; Ubiquitous computing

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