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
收藏
页数：9
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