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
         
        
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
         
        
            Conference_Location : 
South Brisbane, QLD
         
        
        
            DOI : 
10.1109/ICASSP.2015.7179047