一种基于二阶盲信号分离的多路声回波抑制模型

本文提出了一个基于二阶盲信号分离的多路声回波抑制模型.该模型回避了多路声回波对消中因声回波源信号间的强互相关性所致的固有的解的非唯一性问题,而是充分利用了这种互相性来去除声回波.模型仅添加一个辅助麦克风并巧妙置位即可对各路麦克风信号中的多路声回波进行有效的分离和抑制.为了实时处理的目的,提出了一个计算复杂度低且收敛稳健的二阶频域盲信号分离算法来检验该模型.实验结果充分确认了提出模型的有效性.

A New Multi-Channel Acoustic Echo Suppression Model Based on Second-Order Blind Signal Separation

A multi-channel acoustic echo suppression model(MCAESM) via second-order blind signal separation(BSS) is proposed.It avoids the inherent non-uniqueness problem in multi-channel acoustic echo cancellation due to strongly cross-correlated acoustic echo-source signals.On the contrary,it makes full use of the cross-correlativity to remove these acoustic echoes.In this model,the multi-channel acoustic echoes from each microphone signal can be effectively separated and suppressed by employing only one additional well-positioned microphone.For the purpose of real-time processing,a new frequency domain BSS algorithm based on second-order statistics,with less computational complexity and stronger robustness,is proposed to verify the MCAESM.Experimental results confirm the effectiveness of the proposed model.