International audienceThis paper takes place within the field of active sound source localization in a binaural context. A stochastic filtering strategy is presented for the localization of a still or moving source from a moving binaural sensor. The proposed method accounts for the source intermittence as well as for false measurements induced by the non-stationarity of the emitted signal. Its effectiveness is showed on experimental results
International audienceThis paper presents a strategy to the localization of multiple sound sources f...
Over the decades, Bayesian statistical inference has become a staple technique for modelling human m...
Binaural source localization is based on use of two sensors to perform localization of audio sources...
International audienceThis paper takes place within the field of active sound source localization in...
International audienceAn unknown intermittent sound source, at rest or in motion, is considered. We ...
International audienceThis paper deals with binaural sound localization. An active strategy is propo...
International audienceThis paper takes place within the field of sound source localization by combin...
This thesis deals with the definition of algorithms for the localisation of still or moving sound so...
International audienceFundamental limitations of binaural localization, such as front-back ambiguity...
This work takes place within the field of sound source localization from a binaural sensor (consisti...
International audienceThis paper takes place within the field of binaural localization in robotics. ...
International audienceBinaural sound localization is known to be improved by incorporating the movem...
Ce travail s'inscrit dans le contexte de la localisation de source sonore depuis un capteur binaural...
We formulate a novel Bayesian generative model for binaural sound source localisa-tion using time de...
In this work we present a framework for the estimation of the Cartesian position of stationary soun...
International audienceThis paper presents a strategy to the localization of multiple sound sources f...
Over the decades, Bayesian statistical inference has become a staple technique for modelling human m...
Binaural source localization is based on use of two sensors to perform localization of audio sources...
International audienceThis paper takes place within the field of active sound source localization in...
International audienceAn unknown intermittent sound source, at rest or in motion, is considered. We ...
International audienceThis paper deals with binaural sound localization. An active strategy is propo...
International audienceThis paper takes place within the field of sound source localization by combin...
This thesis deals with the definition of algorithms for the localisation of still or moving sound so...
International audienceFundamental limitations of binaural localization, such as front-back ambiguity...
This work takes place within the field of sound source localization from a binaural sensor (consisti...
International audienceThis paper takes place within the field of binaural localization in robotics. ...
International audienceBinaural sound localization is known to be improved by incorporating the movem...
Ce travail s'inscrit dans le contexte de la localisation de source sonore depuis un capteur binaural...
We formulate a novel Bayesian generative model for binaural sound source localisa-tion using time de...
In this work we present a framework for the estimation of the Cartesian position of stationary soun...
International audienceThis paper presents a strategy to the localization of multiple sound sources f...
Over the decades, Bayesian statistical inference has become a staple technique for modelling human m...
Binaural source localization is based on use of two sensors to perform localization of audio sources...