Cities are noisy places, and a team of scientists believe that sensors, artificial intelligence, and some generous volunteers can help solve the problem. Sounds of New York City (SONYC) is asking citizen scientists to listen to 10-second sound clips collected by sensors around the city and identify what they hear.
Users are presented with a spectrogram visualization of the audio and a menu of options (“small-sounding engine,” “dog barking,” “ice cream truck”) and have to select all the options that apply. This information will then be fed to an algorithm that will learn to better identify the sources of noise on its own. Hopefully, all this will lead to a better understanding of noise pollution and better tools for fighting it.
SONYC...
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