Voice activity detection algorithm based on long-term pitch information

被引：5

作者：

Yang, Xu-Kui ^{[1
,2
]}

He, Liang ^{[3
]}

Qu, Dan ^{[1
]}

Zhang, Wei-Qiang ^{[3
]}

机构：

[1] Zhengzhou Informat Sci & Technol Inst, Zhengzhou, Peoples R China

[2] State Key Lab Integrated Serv Networks, Beijing, Peoples R China

[3] Tsinghua Univ, Dept Elect Engn, Beijing, Peoples R China

来源：

EURASIP JOURNAL ON AUDIO SPEECH AND MUSIC PROCESSING | 2016年

基金：

中国国家自然科学基金;

关键词：

Voice activity detection; Non-stationary noise; Long-term pitch envelop; Long-term pitch divergence; NOISE;

D O I：

10.1186/s13636-016-0092-y

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

A new voice activity detection algorithm based on long-term pitch divergence is presented. The long-term pitch divergence not only decomposes speech signals with a bionic decomposition but also makes full use of long-term information. It is more discriminative comparing with other feature sets, such as long-term spectral divergence. Experimental results show that among six analyzed algorithms, the proposed algorithm is the best one with the highest non-speech hit rate and a reasonably high speech hit rate.

引用

页数：9

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