Source tracking using moving microphone arrays for robot audition

File Description SizeFormat 
20170107083712_298368_1962_Final.pdfFile embargoed until 01 January 10000739.87 kBAdobe PDF    Request a copy
Title: Source tracking using moving microphone arrays for robot audition
Authors: Evers, C
Dorfan, Y
Gannot, S
Naylor, PA
Item Type: Conference Paper
Abstract: Intuitive spoken dialogues are a prerequisite for human-robot inter- action. In many practical situations, robots must be able to identify and focus on sources of interest in the presence of interfering speak- ers. Techniques such as spatial filtering and blind source separa- tion are therefore often used, but rely on accurate knowledge of the source location. In practice, sound emitted in enclosed environments is subject to reverberation and noise. Hence, sound source localiza- tion must be robust to both diffuse noise due to late reverberation, as well as spurious detections due to early reflections. For improved robustness against reverberation, this paper proposes a novel ap- proach for sound source tracking that constructively exploits the spa- tial diversity of a microphone array installed in a moving robot. In previous work, we developed speaker localization approaches using expectation-maximization (EM) approaches and using Bayesian ap- proaches. In this paper we propose to combine the EM and Bayesian approach in one framework for improved robustness against rever- beration and noise.
Issue Date: 5-Mar-2017
Date of Acceptance: 18-Dec-2016
URI: http://hdl.handle.net/10044/1/43626
Publisher: IEEE
Journal / Book Title: Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
Copyright Statement: This paper is embargoed until publication.
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 609465
Conference Name: IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP)
Start Date: 2017-03-05
Finish Date: 2017-03-09
Conference Place: New Orleans, LA
Embargo Date: publication subject to indefinite embargo
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Creative Commons