Generalization of DUET using neighborhood relationship

Neighborhood 관계를 이용한 DUET Generalization

  • Woo, Sung-Min (Electrical and Electronic Engineering Pohang University of Science and Technology) ;
  • Jeong, Hong (Electrical and Electronic Engineering Pohang University of Science and Technology)
  • 우성민 (포항공과대학교 전자전기공학과) ;
  • 정홍 (포항공과대학교 전자전기공학과)
  • Published : 2008.06.18

Abstract

In this paper, we propose a method that makes use of neighborhood relationship in 2D spectrogram of separated sources toward the generalization of the binary mask in Degenerate Unmixing Estimation Technique (DUET). A new generalized mask can be consist of five to ten mask. According to the new mask, the original power of the spectrogram in each frequency-time point is assigned. The result showed a smooth and tender wave-form, indicating a high speech separation performance compared to the original method.

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