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Robust voice activity detection (VAD) is a very crucial step and a challenging problem in developing real-time and high-performance speech recognition systems used in noisy environments. In this paper, we present a novel and efficient VAD algorithm for robust and real-time speech activity detection. The key idea of the algorithm is considering speech energy and edge information simultaneously when processing speech signals. A new finite state Automaton is also developed for correctly detectingdoi:10.1109/icpr.2008.4761906 dblp:conf/icpr/LiD08 fatcat:mt5efzb5rjee7ctktjhvt753hq