@inproceedings{Evers:2017:10.1109/ICASSP.2017.7953337,
author = {Evers, C and Dorfan, Y and Gannot, S and Naylor, PA},
doi = {10.1109/ICASSP.2017.7953337},
publisher = {IEEE},
title = {Source tracking using moving microphone arrays for robot audition},
url = {http://dx.doi.org/10.1109/ICASSP.2017.7953337},
year = {2017}
}

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TY  - CPAPER
AB  - Intuitive spoken dialogues are a prerequisite for human-robot inter-action.  In many practical situations, robots must be able to identifyand 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 thesource location. In practice, sound emitted in enclosed environmentsis subject to reverberation and noise.  Hence, sound source localiza-tion must be robust to both diffuse noise due to late reverberation, aswell as spurious detections due to early reflections.  For improvedrobustness  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.  Inprevious work, we developed speaker localization approaches usingexpectation-maximization (EM) approaches and using Bayesian ap-proaches. In this paper we propose to combine the EM and Bayesianapproach in one framework for improved robustness against rever-beration and noise.
AU  - Evers,C
AU  - Dorfan,Y
AU  - Gannot,S
AU  - Naylor,PA
DO  - 10.1109/ICASSP.2017.7953337
PB  - IEEE
PY  - 2017///
TI  - Source tracking using moving microphone arrays for robot audition
UR  - http://dx.doi.org/10.1109/ICASSP.2017.7953337
UR  - http://hdl.handle.net/10044/1/43626
ER  - 

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