BibTex format
@inproceedings{Evers:2017:10.1109/HSCMA.2017.7895568,
author = {Evers, C and Rafaely, B and Naylor, PA},
doi = {10.1109/HSCMA.2017.7895568},
publisher = {IEEE},
title = {Speaker tracking in reverberant environments using multiple detections of arrival},
url = {http://dx.doi.org/10.1109/HSCMA.2017.7895568},
year = {2017}
}
RIS format (EndNote, RefMan)
TY - CPAPER
AB - Accurate estimation of the Direction of Arrival (DOA) of a soundsource is an important prerequisite for a wide range of acoustic sig-nal processing applications. However, in enclosed environments,early reflections and late reverberation often lead to localization er-rors. Recent work demonstrated that improved robustness againstreverberation can be achieved by clustering only the DOAs fromdirect-path bins in the short-term Fourier transform of a speech sig-nal of several seconds duration from a static talker. Nevertheless, formoving talkers, short blocks of at most several hundred millisecondsare required to capture the spatio-temporal variation of the sourcedirection. Processing of short blocks of data in reverberant envi-ronment can lead to clusters whose centroids correspond to spuri-ous DOAs away from the source direction. We therefore propose inthis paper a novel multi-detection source tracking approach that es-timates the smoothed trajectory of the source DOAs. Results for re-alistic room simulations validate the proposed approach and demon-strate significant improvements in estimation accuracy compared tosingle-detection tracking.
AU - Evers,C
AU - Rafaely,B
AU - Naylor,PA
DO - 10.1109/HSCMA.2017.7895568
PB - IEEE
PY - 2017///
TI - Speaker tracking in reverberant environments using multiple detections of arrival
UR - http://dx.doi.org/10.1109/HSCMA.2017.7895568
UR - http://hdl.handle.net/10044/1/44901
ER -