Two interesting and overlapping projects dealing with urban noise explained below. The potential uses of this data for artistic purposes is exciting. Anyone interested in doing a project at Monthly Music Hackathon NYC exploring urban noise in New York?
Jeff Novich has an excellent proposal for an urban noise API:
Imagine the applications of a Noise API:
I’d create a simple “noise map” website using the noise API that would allow users to explore NYC through noise. This would merely represent a use-case of the API. There are many, many other uses of the data that I can imagine, and I know the ingenuity and innovation of NYC techies will find even more interesting ways to utilize the data.
- Add a “noise” layer into Zillow and other rental maps
- Compare locations with “don’t honk” signs to places without them
- Identify ambulance routes by tracing the “ambulance siren” noise type
- Identify poorly designed intersections that have higher than average honking
- Compare high honking locations with taxi GPS data to (possibly) identify honking taxis
- Use the “bus honk” type to identify buses that are honking inappropriately
- Play sounds of honking loudly at a community board meeting
And coincidentally, NYU is embarking on a project researching urban noise:
(from an email sent to many music science mailing lists)
New York University’s Center for Urban Science and Progress (CUSP) and the Music and Audio Research Lab (MARL) invite applications for a post-doctoral position in cyberphysical systems’ research and development involving large-scale capture, analysis, classification, retrieval, and visualization of urban noise.
These research activities form part of an interdisciplinary initiative, integrating MARL’s Citygram project, that aims to: (a) design and deploy large-scale remote sensing networks that capture spatio-acoustic properties of NYC’s metropolitan area in real-time; (b) design systems for automatic sound identification; (c) develop tools for both mining existing databases and collecting new noise complaints and associated acoustic events; and (d) provide an online exploration/research hub for spatio-acoustic “big data” access, navigation, and visualization. Research results will enable deeper understanding of the NYC noise problem and thus inform effective public policy. Main areas of research include: wireless sensor networks; soundfield capture, analysis and classification; and visualization of spatio-acoustic properties with a focus on urban noise.