Title
Multidimensional localization of multiple sound sources using averaged directivity patterns of Blind Source Separation systems
Abstract
In this paper, we propose a versatile acoustic source localization framework exploiting the self-steering capability of Blind Source Separation (BSS) algorithms. We provide a way to produce an acoustical map of the scene by computing the averaged directivity pattern of BSS demixing systems. Since BSS explicitly accounts for multiple sources in its signal propagation model, several simultaneously active sound sources can be located using this method. Moreover, the framework is suitable to any microphone array geometry, which allows application for multiple dimensions, in the near field as well as in the far field. Experiments demonstrate the efficiency of the proposed scheme in a reverberant environment for the localization of speech sources.
Year
DOI
Venue
2009
10.1109/ICASSP.2009.4959563
ICASSP
Keywords
Field
DocType
directivity pattern,acoustical map,blind source sep- aration,bss demixing system,blind source,index terms— acoustic source localization,multiple source,multidimensional localization,near field,blind source separation system,microphone arrays,multiple dimension,far field,versatile acoustic source localization,active sound source,multiple sound source,blind source separation,probability density function,field experiment,indexing terms,speech,multidimensional systems,data mining,finite impulse response filter,acoustic source localization,multidimensional signal processing,frequency,acoustics
Multidimensional signal processing,Computer science,Artificial intelligence,Blind signal separation,Source separation,Acoustic source localization,Pattern recognition,Directivity,Microphone array,Speech recognition,Acoustics,Radio propagation,Multidimensional systems
Conference
ISSN
Citations 
PageRank 
1520-6149
11
0.69
References 
Authors
5
4
Name
Order
Citations
PageRank
Anthony Lombard1517.68
Tobias Rosenkranz2264.16
Herbert Buchner343540.57
Walter Kellermann453545.32