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    ARTICLE

    Fast Detection and Classification of Dangerous Urban Sounds Using Deep Learning

    Zeinel Momynkulov1, Zhandos Dosbayev2,3,*, Azizah Suliman4, Bayan Abduraimova5, Nurzhigit Smailov2, Maigul Zhekambayeva2, Dusmat Zhamangarin6

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 2191-2208, 2023, DOI:10.32604/cmc.2023.036205

    Abstract Video analytics is an integral part of surveillance cameras. Compared to video analytics, audio analytics offers several benefits, including less expensive equipment and upkeep expenses. Additionally, the volume of the audio datastream is substantially lower than the video camera datastream, especially concerning real-time operating systems, which makes it less demanding of the data channel’s bandwidth needs. For instance, automatic live video streaming from the site of an explosion and gunshot to the police console using audio analytics technologies would be exceedingly helpful for urban surveillance. Technologies for audio analytics may also be used to analyze video recordings and identify occurrences.… More >

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