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	Robust voice activity detection based on pitch and sub-band energy
	Zhihao, Zhang ; Jinlong, Lin
	2009
英文摘要	A new Voice Activity Detection (VAD) method is proposed to track the various background noises and it can be robust in both stationary and variable noise environments. Many previous VAD methods assume that the background only contains certain kinds of noises, so they could not deal with the noise in practical applications efficiently. In proposed approach, determinate speech, determinate noise and potential speech regions are defined. The first two regions are located with extracted pitch contour information and the ambiguous region will be further retrieved using updated thresholds of sub-bands energy in obtained determinate noise's frequency domain. Experiments are carried out with an exhaustive comparison to three standard VAD methods: G729b, ETSI AFE and AMR. The result shows that our approach has a more robust performance than others in the real circumstances.; EI; 0
语种	英语
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/325804]
专题	软件与微电子学院
推荐引用方式 GB/T 7714	Zhihao, Zhang,Jinlong, Lin. Robust voice activity detection based on pitch and sub-band energy. 2009-01-01.

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