Combining multisource wiener filtering with parallel beamformers to reduce noise from interfering talkers

The ability to extract a primary speech signal from an environment with multiple speakers is an important issue [1.2] in speech processing. This paper presents a method for incorporating multiple parallel beamformers with a Wiener filter. By iteratively improving the spectral magnitude estimates of each speech source, substantial improvement in overall signal separation can be obtained. The performance of the algorithm is illustrated using a simulated multiple speaker environment with resulting SNR and sSNR plots.