Real world blind separation of convolved speech signals

This paper deals with blind separation that can extract original signals from their mixtures observed in a normal room. Our method achieves blind separation by making the mixed signals not correlating with each other. The validity of the proposed method has been confirmed by a computer simulation and an experiment in an anechoic room. In this paper, we apply our method to an experiment that extracts two source signals from their mixtures observed in a normal room.

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