Voice activity detection based on the bispectrum - 文章详情页

作者：

Dou, Hui-Jing (Dou, Hui-Jing.) | Wu, Zhao-Yang (Wu, Zhao-Yang.) | Feng, Yan (Feng, Yan.) | Qian, Yan-Zhou (Qian, Yan-Zhou.)

收录：

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摘要：

In　order　to　improve　the　performance　of　voice　activity　detection　under　multiple　noise　environments,　a　new　voice　activity　detection　algorithm　based　on　the　bispectrum　was　presented.　This　method　detect　the　speech　signal　by　using　the　special　slice　of　the　bispectrum.　The　performance　of　the　algorithm　was　compared　with　the　voice　activity　detection　algorithm　in　standard　G.729　annex　B　of　ITU　in　experimental　simulation.　Experimental　results　show　that　the　algorithm　has　high　classification　accuracy　and　stability.　©　2010　IEEE.

关键词：

Signal detection Speech recognition

作者机构：

[ 1 ] [Dou, Hui-Jing]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 2 ] [Wu, Zhao-Yang]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 3 ] [Feng, Yan]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
[ 4 ] [Qian, Yan-Zhou]School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

通讯作者信息：

电子邮件地址：

dhuijing@bjut.edu.cn

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