BibTex format

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 = {},
year = {2017}

RIS format (EndNote, RefMan)

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
PY - 2017///
TI - Source tracking using moving microphone arrays for robot audition
UR -
UR -
ER -