DocumentCode
138114
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
fYear
2014
fDate
14-18 Sept. 2014
Firstpage
3168
Lastpage
3174
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems (IROS 2014), 2014 IEEE/RSJ International Conference on
Conference_Location
Chicago, IL
Type
conf
DOI
10.1109/IROS.2014.6943001
Filename
6943001
Link To Document