A Speech Enhancement MVDR Algorithm in Diffuse Noise Field

Abstract

The minimum variance distortionless response (MVDR) beamformer often used in speech application for separating sound source and suppressing ambient, coherent, stationary and non-stationary noise in real complex environment. This paper deals problem speech enhancement in diffuse noise field by using a modified MVDR, which incorporates speech presence probability to estimate auto and cross power spectral densities. This combination gives the advantage of saving target speaker while suppressing background noise. A efficiency post-filtering, which is a function depends on speech presence probability, used for increasing the quality of filtered signal. The performance evaluation demonstrates the ability of proposal algorithm when compared to conventional MVDR.