In this section
@inproceedings{Hafezi:2016:10.1109/EUSIPCO.2016.7760319,
author = {Hafezi, S and Moore, AH and Naylor, PA},
doi = {10.1109/EUSIPCO.2016.7760319},
publisher = {IEEE},
title = {Multiple source localization in the spherical harmonic domain using augmented intensity vectors based on grid search},
url = {http://dx.doi.org/10.1109/EUSIPCO.2016.7760319},
year = {2016}
}
TY - CPAPER
AB - Multiple source localization is an important task in acousticsignal processing with applications including dereverberation,source separation, source tracking and environmentmapping. When using spherical microphone arrays, it hasbeen previously shown that Pseudo-intensity Vectors (PIV),and Augmented Intensity Vectors (AIV), are an effective approachfor direction of arrival estimation of a sound source.In this paper, we evaluate AIV-based localization in acousticscenarios involving multiple sound sources. Simulations areconducted where the number of sources, their angular separationand the reverberation time of the room are varied. Theresults indicate that AIV outperforms PIV and Steered ResponsePower (SRP) with an average accuracy between 5 and10 degrees for sources with angular separation of 30 degreesor more. AIV also shows better robustness to reverberationtime than PIV and SRP.
AU - Hafezi,S
AU - Moore,AH
AU - Naylor,PA
DO - 10.1109/EUSIPCO.2016.7760319
PB - IEEE
PY - 2016///
SN - 2219-5491
TI - Multiple source localization in the spherical harmonic domain using augmented intensity vectors based on grid search
UR - http://dx.doi.org/10.1109/EUSIPCO.2016.7760319
UR - http://hdl.handle.net/10044/1/37478
ER -
Speech and Audio Processing Lab
CSP Group, EEE Department
Imperial College London
Exhibition Road, London, SW7 2AZ, United Kingdom