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JO. AU. Luft, FA. I.. Pereira, and A. Susin, "Binaural Sound Source Separation Based on Directional Power Spectral Densities," Paper 9845, (2017 October.). doi: JO. AU. Luft, FA. I.. Pereira, and A. Susin, "Binaural Sound Source Separation Based on Directional Power Spectral Densities," Paper 9845, (2017 October.). doi:
Abstract: 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.

@article{luft2017binaural,
author={luft, joel augusto and pereira, fabio i. and susin, altamiro},
journal={journal of the audio engineering society},
title={binaural sound source separation based on directional power spectral densities},
year={2017},
volume={},
number={},
pages={},
doi={},
month={october},} @article{luft2017binaural,
author={luft, joel augusto and pereira, fabio i. and susin, altamiro},
journal={journal of the audio engineering society},
title={binaural sound source separation based on directional power spectral densities},
year={2017},
volume={},
number={},
pages={},
doi={},
month={october},
abstract={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.},}

TY - paper
TI - Binaural Sound Source Separation Based on Directional Power Spectral Densities
SP - EP -
AU - Luft, Joel Augusto
AU - Pereira, Fabio I.
AU - Susin, Altamiro
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2017 TY - paper
TI - Binaural Sound Source Separation Based on Directional Power Spectral Densities
SP - EP -
AU - Luft, Joel Augusto
AU - Pereira, Fabio I.
AU - Susin, Altamiro
PY - 2017
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - October 2017
AB - 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.