@inproceedings{Dorfan:2016:10.1109/EUSIPCO.2016.7760399,
author = {Dorfan, Y and Evers, C and Gannot, S and Naylor, P},
doi = {10.1109/EUSIPCO.2016.7760399},
publisher = {IEEE},
title = {Speaker Localization with Moving Microphone Arrays},
url = {http://dx.doi.org/10.1109/EUSIPCO.2016.7760399},
year = {2016}
}

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TY  - CPAPER
AB  - Speaker localization algorithms often assume staticlocation for all sensors. This assumption simplifies the modelsused, since all acoustic transfer functions are linear time invariant.In many applications this assumption is not valid. Inthis paper we address the localization challenge with movingmicrophone arrays. We propose two algorithms to find thespeaker position. The first approach is a batch algorithm basedon the maximum likelihood criterion, optimized via expectationmaximizationiterations. The second approach is a particle filterfor sequential Bayesian estimation. The performance of bothapproaches is evaluated and compared for simulated reverberantaudio data from a microphone array with two sensors.
AU  - Dorfan,Y
AU  - Evers,C
AU  - Gannot,S
AU  - Naylor,P
DO  - 10.1109/EUSIPCO.2016.7760399
PB  - IEEE
PY  - 2016///
SN  - 2076-1465
TI  - Speaker Localization with Moving Microphone Arrays
UR  - http://dx.doi.org/10.1109/EUSIPCO.2016.7760399
UR  - http://hdl.handle.net/10044/1/38884
ER  - 

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