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
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