Robust multi-channel crosstalk resistant noise cancellation based on SAD structure and LMMN Algorithm

Abstract

In this paper a robust and reliable adaptive noise cancellation algorithm is proposed to enhance noise carrying speech signals. The algorithm deals with situations where the microphones should locate in close proximity, as they cancel out the crosstalk effects. In other words, the source of the noise signal is not available separately and is independent of the desired speech signal. This is the case in mobile phones and hands-free systems, where the smallness of the dimension of the applied speech enhancement system is desirable. In our proposed method, symmetric adaptive decorrelation (SAD) structure and least mean mixed-norm (LMMN) adaptation algorithm are applied to make a considerable improvement in the performance of the noise cancellation procedure, where the Voice Activity Detection (VAD) is used to reduce the computational costs. However in this paper, there was an utmost attempt to consider all of the practical problems, while the minimum simplifying assumptions are made. The simulation results have proven the robustness of this algorithm compared with commonly used algorithms, in the sense of SNR and MSE improvement and speech intelligibility.