Geometric Source Separation Method Using Nonnegative Matrix Factorization and Interference Suppression

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概要

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• 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.

• （社）電子情報通信学会の論文
• 2011-11-01

著者

• Sung Koeng-mo

  Inmc Seoul National University

• LEE Seokjin

  INMC, Seoul National University

• PARK Sang

  INMC, Seoul National University

• SUNG Koeng-Mo

  INMC, Seoul National University

• Lee Seokjin

  Inmc Seoul National University

• Sung Koeng-mo

  School Of Electrical Engineering And Computer Science & Inmc Seoul National University

• Park Sang

  Inmc Seoul National University

関連論文

• Geometric Source Separation Method Using Nonnegative Matrix Factorization and Interference Suppression
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• Clustering Algorithm for Unsupervised Monaural Musical Sound Separation Based on Non-negative Matrix Factorization

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