A new blind signal separation algorithm based on second-order statistics

D.W.E. Schobben, P.C.W. Sommen

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Samenvatting

This paper addresses the problem of separating multiple speakers from mixtures of these that are obtained using multiple microphones in a room. A new adaptive blind signal separation algorithm is derived which is entirely based on Second Order Statistics which is entitled CoBliSS. The CoBliSS algorithm can run in offline or online (adaptive) mode. One of the advantages of the CoBliSS algorithm is that no assumptions are made about the probability density functions or other properties of the signals. Experiments with real recordings were carried out in a normal living room which show that the algorithm has good performance. As opposed to most other algorithms no parameters need to be tuned.
Originele taal-2Engels
TitelProc. IASTED International Conference on Signal and Image Processing
Pagina's564-569
StatusGepubliceerd - 1998
Evenement1998 IASTED International Conference on Signal and Image Processing, October 28-31, 1998, Las Vegas, NV, USA - Las Vegas, NV, Verenigde Staten van Amerika
Duur: 28 okt 199831 okt 1998

Congres

Congres1998 IASTED International Conference on Signal and Image Processing, October 28-31, 1998, Las Vegas, NV, USA
LandVerenigde Staten van Amerika
StadLas Vegas, NV
Periode28/10/9831/10/98
AnderProc. IASTED International Conference on Signal and Image Processing, Las Vegas, 28-31 October 1998

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  • Citeer dit

    Schobben, D. W. E., & Sommen, P. C. W. (1998). A new blind signal separation algorithm based on second-order statistics. In Proc. IASTED International Conference on Signal and Image Processing (blz. 564-569)