首页|全空间相关矩阵广义加权预测误差算法去混响研究

全空间相关矩阵广义加权预测误差算法去混响研究

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广义加权预测误差(generalized weighted prediction error,GWPE)算法是一种有效的多通道语音去混响算法,但在麦克风间距较近时去混响效果变差.文章分析了GWPE算法在小间距麦克风阵列下的局限性,即未充分考虑麦克风信号间的空间相关性.据此,研究了全空间相关矩阵的广义加权预测误差(generalized weighted prediction error of full-space correlation matrix,GWPE-FCM)算法,该算法考虑了不同输入通道之间的空间相关性,计算复杂度比GWPE算法略增加.仿真结果表明,GWPE-FCM算法与GWPE算法相比在整体去混响方面效果更好,特别是在麦克风距离较近的情况下.全空间相关矩阵能够更准确地估计输入信号的相关性,使得GWPE-FCM算法在去混响效果上表现更出色.
Research on dereverberation by generalized weighted prediction error algorithm of full-space correlation matrix
The generalized weighted prediction error(GWPE)algorithm is an effective multi-channel speech dereverberation algorithm,but its performance deteriorates when the microphone spacing is small.This paper analyzes the limitations of the GWPE algorithm in small microphone arrays,i.e.,it does not fully consider the spatial correlation between microphone signals.Then the generalized weighted prediction error using full-space correlation matrix(GWPE-FCM)algorithm is introduced,which takes into account the spatial correlation between different input channels and slightly increases computational complexity in comparison with the GWPE algorithm.The simulation results show that compared to the GWPE algorithm,the GWPE-FCM algorithm performs better in overall dereverberation,especially when the microphone distance is close.PESQ increased by about 0.2 and STOI increased by about 0.1.

dereverberationweighted prediction errorfull-space correlationmicrophone array

吴礼福、陈晨、王绍博、葛文昌

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南京信息工程大学电子与信息工程学院,江苏南京 210044

江苏省大气环境与装备技术协同创新中心,江苏南京 210044

去混响 加权预测误差 全空间相关 麦克风阵列

国家自然科学基金

12074192

2024

声学技术
中科院声学所东海研究站,同济大学声学所,上海市声学学会,上海船舶电子设备研究所

声学技术

CSTPCD北大核心
影响因子:0.415
ISSN:1000-3630
年,卷(期):2024.43(5)
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