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.

Authors: Luft, Joel Augusto; Pereira, Fabio I.; Susin, Altamiro
Affiliations: Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Sul, Canoas, RS, Brazil; Universidade Federal do rio Grande do Sul, Porto Alegre, RS, Brazil; Federal University of Rio Grande do Sul, Porto Alegre, Brazil(See document for exact affiliation information.)
AES Convention: 143 (October 2017) Paper Number: 9845
Publication Date: October 8, 2017 Import into BibTeX
Subject: Signal Processing
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=19242

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