Speech Separation Based on Higher Order Statistics Using Recurrent Neural Networks

  • Yan Li
  • David M. W. Powers
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 14)


Independent Component Analysis (ICA) (Comon, 1994; Lee, 1998; Karhunen et al,1997; Haykin, 1998) is an unsupervised technique, which tries to represent the data in terms of statistically independent variables. ICA and the related blind source separation (BSS) and application topics both in unsupervised neural learning and statistical signal processing.


Independent Component Analysis Recurrent Neural Network Independent Component Analysis Blind Source Separation Processing Node 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Yan Li
    • 1
  • David M. W. Powers
    • 2
  1. 1.University of Southern QueenslandAustralia
  2. 2.Flinders University of South AustraliaAustralia

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