DocumentCode :
730877
Title :
A three-stage framework to active source localization from a binaural head
Author :
Bustamante, Gabriel ; Portello, Alban ; Danes, Patrick
Author_Institution :
LAAS, Toulouse, France
fYear :
2015
fDate :
19-24 April 2015
Firstpage :
5620
Lastpage :
5624
Abstract :
This paper takes place within the field of binaural localization in robotics. The aim is to design “active” schemes, which combine the signals sensed by a binaural head with its motor commands so as to overcome limitations occurring in a static context: front-back confusion, non-observability of hidden variables, etc. A three-stage strategy is proposed, which entails: the short-term detection and localization of sources from the short-term analysis of the binaural stream; the assimilation of these data over time and the fusion with the motor commands of the binaural sensor; the improvement of this fusion through the feedback control of the binaural sensor. For each stage, the theoretical bases, some achievements and open problems are outlined.
Keywords :
Kalman filters; maximum likelihood estimation; Kalman filtering; ML estimation; active source localization; binaural localization; feedback control; front-back confusion; short-term detection analysis; three-stage strategy; Azimuth; Maximum likelihood estimation; Noise; Robot sensing systems; Zirconium; Kalman filtering; ML estimation; Robot audition; active localization; information-based control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
Type :
conf
DOI :
10.1109/ICASSP.2015.7179047
Filename :
7179047
Link To Document :
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