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Binaural Sound Source Separation Based on Directional Power Spectral Densities

Microphone arrays are a common choice to be used in spatial sound source separation. In this paper a new method for binaural source separation is presented. The separation is performed using the spatial position of sound source, the Head-Related Transfer Function, and the Power Spectral Density of fixed beamformers. A non-negative constrained least-squares minimization approach is used to solve the Head-Related Transfer Function based directivity gain formulation and the Power Spectral Density is used as a magnitude estimation of the sound sources. Simulation examples are presented to demonstrate the performance of the proposed algorithm.

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