Björn Schölling, Martin Heckmann, Frank Joublin, Christian Goerick, "From Source Localization to Blind Source Separation: An Intuitive Route to Convolutive Blind Source Separation", Proceedings of the International Workshop on Acoustic Echo and Noise Control (IWAENC), 2006.

Most algorithms for blind source separation (BSS) of convolutive speech mixtures are derived in a deductive way from abstract statistical principles and exploit a combination of three signal properties, i.e. nongaussianity, nonwhiteness and nonstationarity. In this paper we show how a separation system can be build the opposite, inductive, way using basic speech processing building blocks. The main block and starting point of our derivation is a simple generalized cross correlation based localization system with two microphones. The capability of source separation (2 signals and 2 sensors) is added by duplicating the localization structure and adding an inhibition mechanism which suppresses already localized sounds. Finally, experimental results with artificially mixed speech signals are presented.