Multiple source localization in the spherical harmonic domain using augmented intensity vectors based on grid search

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Title: Multiple source localization in the spherical harmonic domain using augmented intensity vectors based on grid search
Author(s): Hafezi, S
Moore, AH
Naylor, PA
Item Type: Conference Paper
Abstract: Multiple source localization is an important task in acoustic signal processing with applications including dereverberation, source separation, source tracking and environment mapping. When using spherical microphone arrays, it has been previously shown that Pseudo-intensity Vectors (PIV), and Augmented Intensity Vectors (AIV), are an effective approach for direction of arrival estimation of a sound source. In this paper, we evaluate AIV-based localization in acoustic scenarios involving multiple sound sources. Simulations are conducted where the number of sources, their angular separation and the reverberation time of the room are varied. The results indicate that AIV outperforms PIV and Steered Response Power (SRP) with an average accuracy between 5 and 10 degrees for sources with angular separation of 30 degrees or more. AIV also shows better robustness to reverberation time than PIV and SRP.
Publication Date: 1-Dec-2016
Date of Acceptance: 28-May-2016
URI: http://hdl.handle.net/10044/1/37478
DOI: https://dx.doi.org/10.1109/EUSIPCO.2016.7760319
ISSN: 2219-5491
Publisher: IEEE
Journal / Book Title: European Signal Processing Conference
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 609465
Conference Name: European Signal Processing Conference
Copyright Statement: © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
spherical microphone arrays
localization
direction-of-arrival estimation
spherical harmonic
intensity vector
ROOM IMPULSE RESPONSES
MICROPHONE ARRAYS
Publication Status: Published
Start Date: 2016-08-29
Finish Date: 2016-09-02
Conference Place: Budapest, Hungary
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



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