Online maximization of subband kurtosis for blind adaptive beamforming in realtime speech extraction

被引：3

作者：

Saellberg, Benny ^{[1
]}

Grbic, Nedelko ^{[1
]}

Claesson, Ingvar ^{[1
]}

机构：

[1] Blekinge Inst Technol, Dept Signal Proc, SE-37225 Ronneby, Sweden

来源：

PROCEEDINGS OF THE 2007 15TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING | 2007年

关键词：

blind speech extraction; adaptive beamforming; kurtosis; maximization;

D O I：

10.1109/ICDSP.2007.4288654

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents a method for blind beamforming with application in realtime speech extraction in a non-stationary environment. The blind beamforming is carried Out using,in online kurtosis maximization approach where the optimization is based on Newton's method. The main novelty of the paper lies in the formulation of the subband kurtosis approximation, where a locally quadratic criterion is solved at each iteration. Further, a real-time digital signal processor (DSP) implementation of the method is conducted and results with real data is presented.

引用

页码：603 / +

页数：2

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