Blind source extraction based on a direction-dependent a-priori SNR
Lukas Pfeifenberger, Franz Pernkopf · 2014
In many hands-free applications, we encounter a speaker located in the near-field embedded in diffuse far-field noise. In this paper, we contribute an algorithm to estimate the speech and noise power spectral density (PSD) based on a directiondependent SNR (DD-SNR). The only prior knowledge needed is a model of the diffuse noise sound field. The enhanced speech signal is obtained by a parametric multi-channel Wiener filter (PMWF), which is constructed without any speech presence or absence probabilities, or smoothing in frequency. We achieve high speech quality and sufficient noise reduction by iteratively improving the speech PSD estimate using the output of the PMWF. The performance of our algorithm is demonstrated by using the PESQ and PEASS measures.