A Blind Signal Separation Algorithm

  • Daniel W. E. Schobben


This chapter addresses the problem of separating multiple speakers from mixtures of these that are obtained using multiple microphones in a room. A new blind signal separation algorithm is derived which is entirely based on second order statistics. The algorithm can run in off-line or online (adaptive) mode. One of the advantages of this algorithm is that no assumptions are made about the probability density functions or other properties of the signals. The blind signal separation algorithm has been tested using microphones that pickup speech signals of speakers that are talking simultaneously to give an indication of its performance for real-world data.


Weight Matrice Filter Coefficient Compact Disc Finite Impulse Response Filter Microphone Signal 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

  • Daniel W. E. Schobben
    • 1
  1. 1.Philips Research LaboratoriesUSA

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