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.