Blind Speech Separation in Convolutive Mixtures Using Negentropy Maximization

  • Vuong Hoang Nam
  • Nguyen Quoc Trung
  • Tran Hoai Linh

Abstract

This paper proposes a new method to address the  problem  of  blind  speech  separation  in  convolutive mixtures in the time domain. The main idea is extract the  innovation  processes  of  speech  sources  by  nonGaussianity  maximization  and  then  artificially  color them  by  re-coloration  filters.  Some  simulation experiments of the 2x2 case are presented to illustrate the proposed approach.
Published
2010-10-28
Section
Regular Articles