DocumentCode :
2413350
Title :
Research of Voice Activity Detection Algorithm
Author :
Hao, Zheng ; Deming, Li
fYear :
2011
fDate :
21-23 Oct. 2011
Firstpage :
853
Lastpage :
855
Abstract :
In this paper, voice activity detection (VAD) algorithms and the development are introduced firstly, and then the analysis and comparison of the dominating VAD algorithms are proposed. Finally, the development characteristics of VAD are summarized. The simulation result shows that VAD of double threshold method is efficient on-line.
Keywords :
Algorithm design and analysis; Feature extraction; Hidden Markov models; Signal to noise ratio; Speech; Speech processing; research development; short-time energy; short-time zero-crossing rate; speech signal processing; voice activity detection (VAD);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational and Information Sciences (ICCIS), 2011 International Conference on
Conference_Location :
Chengdu, China
Print_ISBN :
978-1-4577-1540-2
Type :
conf
DOI :
10.1109/ICCIS.2011.218
Filename :
6086334
Link To Document :
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