@inproceedings{94820d59327147c5a4617bfecf642586,
title = "Bearing-only acoustic tracking of moving speakers for robot audition",
abstract = "This paper focuses on speaker tracking in robot audition for human-robot interaction. Using only acoustic signals, speaker tracking in enclosed spaces is subject to missing detections and spurious clutter measurements due to speech inactivity, reverberation and interference. Furthermore, many acoustic localization approaches estimate speaker direction, hence providing bearing-only measurements without range information. This paper presents a probability hypothesis density (PHD) tracker that augments the bearing-only speaker directions of arrival with a cloud of range hypotheses at speaker initiation and propagates the random variates through time. Furthermore, due to their formulation PHD filters explicitly model, and hence provide robustness against, clutter and missing detections. The approach is verified using experimental results.",
keywords = "Acoustic signal processing, Acoustic tracking, Bearing-only tracking, Clutter, Missing detections, Speaker tracking",
author = "Christine Evers and Moore, {Alastair H.} and Naylor, {Patrick A.} and Jonathan Sheaffer and Boaz Rafaely",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Digital Signal Processing, DSP 2015 ; Conference date: 21-07-2015 Through 24-07-2015",
year = "2015",
month = sep,
day = "9",
doi = "https://doi.org/10.1109/ICDSP.2015.7252071",
language = "American English",
series = "International Conference on Digital Signal Processing, DSP",
pages = "1206--1210",
booktitle = "2015 IEEE International Conference on Digital Signal Processing, DSP 2015",
}