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Audio Event Classification using the Genetic Regulatory Network

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dc.contributor.author Kyaw, Tin Ei
dc.date.accessioned 2019-07-25T04:35:17Z
dc.date.available 2019-07-25T04:35:17Z
dc.date.issued 2010-12-16
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/1266
dc.description.abstract The massive multimedia data, including video, audio, and text can be used by users in content browsing, retrieval, classification management. In this study, audio event classification through a Genetic Regulatory Network (GRN) is considered. Genetic Regulatory Network is adopted as classification framework to detect audio events such as gunshot, explosion for surveillance system at important public places in a noisy environment. Selecting GRN for designing a classifier among the different classifier in event detection system can not only reduce cost and effort with high performance accuracy in varying nature of environments. en_US
dc.language.iso en en_US
dc.publisher Fifth Local Conference on Parallel and Soft Computing en_US
dc.title Audio Event Classification using the Genetic Regulatory Network en_US
dc.type Article en_US

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