2019 · Communications of the ACM
SONYC: A System for Monitoring, Analyzing, and Mitigating Urban Noise Pollution
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2019Communications of the ACMurban-datamachine-learning
Authors
Juan Pablo Bello, Claudio Silva, Oded Nov, R. Luke DuBois, Anish Arora, Justin Salamon, Charles Mydlarz, Harish Doraiswamy
Abstract
SONYC is a smart cities initiative focused on developing a cyber-physical system for the monitoring, analysis and mitigation of urban noise pollution. The system uses a network of low-cost acoustic sensors deployed across New York City, combined with machine learning algorithms for automatic sound classification and citizen science reporting.
SONYC presents a system for monitoring, analyzing, and mitigating urban noise pollution through large-scale sensor networks and machine learning.