Speaker Localization with Moving Microphone Arrays

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Title: Speaker Localization with Moving Microphone Arrays
Authors: Dorfan, Y
Evers, C
Gannot, S
Naylor, P
Item Type: Conference Paper
Abstract: Speaker localization algorithms often assume static location for all sensors. This assumption simplifies the models used, since all acoustic transfer functions are linear time invariant. In many applications this assumption is not valid. In this paper we address the localization challenge with moving microphone arrays. We propose two algorithms to find the speaker position. The first approach is a batch algorithm based on the maximum likelihood criterion, optimized via expectationmaximization iterations. The second approach is a particle filter for sequential Bayesian estimation. The performance of both approaches is evaluated and compared for simulated reverberant audio data from a microphone array with two sensors.
Issue Date: 1-Dec-2016
Date of Acceptance: 16-Jun-2016
URI: http://hdl.handle.net/10044/1/38884
DOI: https://dx.doi.org/10.1109/EUSIPCO.2016.7760399
ISSN: 2076-1465
Publisher: IEEE
Journal / Book Title: Proc. European Signal Processing Conference (EUSIPCO)
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/Funder: Commission of the European Communities
Funder's Grant Number: 609465
Conference Name: European Signal Processing Conference (EUSIPCO)
Keywords: Science & Technology
Technology
Engineering, Electrical & Electronic
Engineering
TRACKING
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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