Reflection assisted sound source localization through a harmonic domain MUSIC framework
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Birnie, Lachlan
Abhayapala, Thushara
Samarasinghe, Prasanga
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IEEE Signal Processing Society
Abstract
This work presents a method that persuades acoustic
reflections to be a favorable property for sound source localization.
Whilst most real world spatial audio applications utilize prior
knowledge of sound source position, estimating such positions
in reverberant environments is still considered to be a difficult
problem due to acoustic reflections. This article presents a novel
MUSIC framework for multiple sound source localization (range,
elevation, azimuth) in reverberant rooms by incorporating a recently proposed region-to-region room transfer model. The method
is built upon the received signals of a higher order microphone
and a spherical harmonic representation of the room transfer
function. We demonstrate the method's general applicability and
multiple source localization performance through a simulation
study across an assortment of reverberant conditions. Additionally,
we investigate robustness against various system modeling errors
to gauge implementation viability. Finally, we prove the method
in a practical experiment inside a real-world room with measured
region-to-region transfer function parameters.
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IEEE/ACM Transactions on Audio, Speech, and Language Processing
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Restricted until
2099-12-31
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