In this paper we present a general low-complexity stereo signal decomposition approach. Based on a common stereo signal model, the panning coefficients and azimuth positions of the sources in a stereo mix are estimated. In a next step, this information is used to separate direct and ambient signal components. The simple algorithm can be implemented at low computational cost and its application in a stereo to 3D upmix context is described. Particular focus is put on the generation of additional ambient channels by using decorrelation filters in a tree structure. Finally, the separation performance is evaluated with several standard measures and compared to other algorithms.
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