Application of the maximum signal to interference ratio criterion to the adaptive microphone array

Abstract

The minimum variance (MV) criterion is widely used for the weight vector estimation of the adaptive microphone array. The drawback of this criterion is the cancellation of the desired speech signal and its degradation in multipath wave propagation environment. Applying the maximum signal to interference ratio (MSIR) instead of the MV criterion has two benefits. The first one is the high suppression of the interferences and the second one the desired speech enhancement. The proposed MSIR criterion is applied to the new generalized eigenvalue based beamformer (GEVBF). Its superiority is experimentally proved by simulating a room with reverberation.