Geometric source separation method using nonnegative matrix factorization and interference suppression

Seokjin Lee, Sang Ha Park, Koeng Mo Sung

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, a geometric source separation system using nonnegative matrix factorization (NMF) is proposed. The adaptive beamformer is the best method for geometric source separation, but it suffers from a "target signal cancellation" problem in multi-path situations. We modified the HALS-NMF algorithm for decomposition into bases, and developed an interference suppression module in order to cancel the interference bases. A performance comparison between the proposed and subband GSC-RLS algorithm using a MATLAB ® simulation was executed; the results show that the proposed system is robust in multi-path situations.

Original languageEnglish
Pages (from-to)2442-2447
Number of pages6
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE94-A
Issue number11
DOIs
StatePublished - Nov 2011

Keywords

  • Acoustic source separation
  • Beamformer
  • Interference suppression
  • Multi-channel
  • Nonnegative matrix factorization

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