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.


Autocorrelation Convolution Acoustics 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media Dordrecht 2001

Authors and Affiliations

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

Personalised recommendations