Multiple source localization in the spherical harmonic domain using augmented intensity vectors based on grid search
File(s)Hafezi-CameraReady2.pdf (568.26 KB)
Accepted version
Author(s)
Hafezi, S
Moore, AH
Naylor, PA
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.
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.
Date Issued
2016-12-01
Date Acceptance
2016-05-28
Citation
European Signal Processing Conference, 2016
ISSN
2219-5491
Publisher
IEEE
Journal / Book Title
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.
Sponsor
Commission of the European Communities
Grant Number
609465
Source
European Signal Processing Conference
Subjects
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
Coverage Spatial
Budapest, Hungary