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A New Improved Method to Permutation Ambiguity in BSS with Strong Reverberation

  • Huxiong Li
  • Gu Fan
Conference paper
  • 1.6k Downloads
Part of the Communications in Computer and Information Science book series (CCIS, volume 143)

Abstract

The major problem of blind source separation in frequency domain is the permutation ambiguity between different frequency bins, which is the key factor to recover the original sources correctly. A new idea is to consider the frequency components from the same source as a multivariate vector with a certain probability density function, and the vectors from different sources are independent each other. An algorithm based on this idea is proposed to solve the permutation ambiguity problem of BSS in frequency domain, and some approximate cost functions are compared with the existing algorithm in frequency domain. The computer simulations to two true speeches with strong reverberation are shown to verify the efficiency of the proposed algorithm.

Keywords

Blind Source Separation (BSS) Strong Reverberant Environment Multivariate PDF KL Divergence 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Huxiong Li
    • 1
  • Gu Fan
    • 2
  1. 1.School of Computer EngineeringWenzhou UniversityWenzhouChina
  2. 2.College of MarineNorthwestern Polytechnic UniversityXi’anChina

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