Binaural noise suppression based on an unbiased estimator of target PSD in complex noise environments
Youna Ji, Young-Cheol Park, Dae-Hee Youn · 2014
The conventional target power density spectrum (PSD) estimation methods based on the signal prediction inherently produce a biased target PSD because of irrelevant assumptions for the noisy environment. In this paper, an unbiased target PSD is obtained by removing the effect of diffuse noise on the prediction filter. In addition, by on-line estimation of both the noise PSD and target transfer function ratio (TFR) from the input signals, the proposed algorithm achieves robust noise suppression for an unknown target direction under a fast time-varying noisy environment. Computer simulations demonstrate the effectiveness and superiority of the proposed algorithm over the conventional methods.