Exposure to noise pollution has been shown to contribute to cardiovascular effects in humans, can cause permanent hearing loss, and can interfere with the enjoyment of indoor and outdoor activities. As a result, there is a great need to aggregate and categorize environmental noise data to help the world both understand noise pollution as well as how to alleviate it.
This publication describes techniques for wireless-communication devices, such as smartphones, to categorize measured environmental noise data to generate location noise level information. For example, a wireless-communication device can categorize measured environmental noise data into a number of different categories utilizing an on-device machine-learned model to generate location noise level information. The location noise level information can then be utilized to build location area maps of the noise level which can, in turn, be utilized to aid in the global reduction of exposure to noise pollution.
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Gadh, Tajinder; Stogaitis, Marc; and Chandran, Praveen, "Crowdsourced Categorization of Environmental Noise Data by Wireless-Communication Devices", Technical Disclosure Commons, (July 11, 2019)