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Audio Event Classification using Genetic Regulatory Network
http://hdl.handle.net/20.500.12678/0000007755
http://hdl.handle.net/20.500.12678/00000077558ec0caf3-b27b-4a83-8a57-4277d8b97e60
948a6417-ba09-48b6-aee5-5cdd7f4681d1
Name / File | License | Actions |
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Audio Event Classification using Genetic Regulatory Network | |||||
Language | en | |||||
Publication date | 2010-12-16 | |||||
Authors | ||||||
Tin Ei Kyaw | ||||||
Description | ||||||
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 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. | ||||||
Conference papers | ||||||
PSC | ||||||
2010-12-16 | ||||||
Fifth Local Conference on Parallel and Soft Computing | ||||||
Yangon, Myanmar | ||||||
http://onlineresource.ucsy.edu.mm/handle/123456789/1266 |