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