Tae Hong Park , Michael Musick , John Turner , Charlie Mydlarz , Jun Hee Lee , Jaeseong You , Luke DuBois
40th International Computer Music Conference (ICMC) and 11th Sound and Music Computing (SMC) conference
Publication year: 2014

ABSTRACT

Citygram is a multidisciplinary project that seeks to
measure, stream, archive, analyze, and visualize spatio-temporal soundscapes. The infrastructure is built on a cyber-physical system that captures spatio-acoustic data via deployment of a flexible and scalable sensor network. This paper outlines recent project developments which includes updates on our sensor network comprised of crowd-sourced remote sensing, as well as inexpensive and high quality outdoor remote sensing solutions; development of a number of software tools for analysis, visu- alization, and development of machine learning; and an updated web-based exploration portal with real-time animation overlays for Google Maps. This paper also in- cludes a summary of technologies and strategies that engage citizen scientist initiatives to measure New York City’s spatio-acoustic noise pollution in collaboration with the Center for Urban Science and Progress (CUSP).

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Citygram-Identity