Abstract | ||
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In this paper, we present a broadband two-microphone blind spatial separation technique by efficiently combining adaptive beam-forming (ABF) with multichannel blind deconvolution (MBD). First, the inaccessible source signal streams are partially identified by simple time-delay steering and then are spatially separated through an MBD structure. The proposed spatio-temporal ABF-MBD algorithm exhibits fast convergence properties and high computational efficiency. Numerical experiments illustrate the practical appeal of the proposed method in separating convolutive mixtures of speech within nearly anechoic and also highly reverberant enclosures. |
Year | Venue | Keywords |
---|---|---|
2007 | ICA | high computational efficiency,convergence property,signal separation,adaptive beamforming,mbd structure,inaccessible source signal stream,adaptive beam-forming,broadband two-microphone blind spatial,convolutive mixture,multichannel blind deconvolution,proposed spatio-temporal abf-mbd algorithm,blind deconvolution |
Field | DocType | Volume |
Convergence (routing),Adaptive beamformer,Blind deconvolution,Computer science,Algorithm,Speech recognition,Broadband,Anechoic chamber,Blind signal separation,Source separation | Conference | 4666 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-74493-2 | 0 |
PageRank | References | Authors |
0.34 | 8 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kostas Kokkinakis | 1 | 67 | 6.63 |
Philipos C. Loizou | 2 | 991 | 71.00 |