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>During phase two, the sensors will no longer record audio. Instead, they will use machine listening technology to recognize individual sound sources and produce statistical reports on sound levels and types. That data will be compared with 311 complaints and other citizen reports of noise to form an “acoustic model” of the city. Using a combination of data mining and predictive models, the project plans to work with City enforcement officials to more strategically identify and mitigate noise.

>“Phase two of the project will usher in a distinct set of challenges as we attempt to reliably interpret, verify, and visualize the data we receive from both machines and people,” said Claudio Silva, a professor of computer science and engineering at the NYU Tandon School of Engineering and SONYC team member. “Because SONYC will continuously monitor and enable noise pollution to be analyzed, it can guide efforts to quantify the noise and understand its effects, thus providing actionable knowledge that can help City officials and residents address the problem.”


What could possibly go wrong?