Title :
Localization of multiple sources from a binaural head in a known noisy environment
Author :
Portello, Alban ; Bustamante, Gabriel ; Danes, Patrick ; Mifsud, Alexis
Author_Institution :
LAAS, Toulouse, France
Abstract :
This paper presents a strategy to the localization of multiple sound sources from a static binaural head. The sources are supposed W-Disjoint Orthogonal and their number is assumed known. Their most likely azimuths are computed by means of the Expectation-Maximization algorithm. Application of the method on simulated data is reported, as well as some evaluations of its HARK implementation on experimental data. Two important properties are observed: scattering effects can be coped with, thanks to the required prior knowledge of the (room-independent) head interaural transfer function; the environment noise statistics are handled separately.
Keywords :
acoustic signal processing; expectation-maximisation algorithm; HARK; W-disjoint orthogonal sources; environment noise statistics; expectation-maximization algorithm; head interaural transfer function; multiple source source localization; noisy environment; scattering effects; static binaural head; Azimuth; Covariance matrices; Maximum likelihood estimation; Noise; Time-frequency analysis; Tin; Vectors;
Conference_Titel :
Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
Conference_Location :
Chicago, IL
DOI :
10.1109/IROS.2014.6943001