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Improvement of Background Sound Reduction Performance by Non-negative matrix Factorization Method by Wiener Filter Post-processing

위너필터 후처리를 통한 비음수행렬분해 기법의 배경음 저감 성능 향상

  • 이상협 (경성대학교 대학원 전자공학과) ;
  • 김현태 (동의대학교 응용소프트웨어공학전공)
  • Received : 2019.07.02
  • Accepted : 2019.08.15
  • Published : 2019.08.31

Abstract

In this paper, we propose a method to improve the background sound separation performance by adding a Wiener filter to the end of the non - negative matrix factorization method. In the case of a mixed voice signal with background sound, a part that has not yet been completely separated may remain in the signal that separated first by the non-negative matrix factorization method. In this case, it can be reduced in proportion to the size of the residual signal due to the Wiener filter, so that the background sound separation or reduction effect can be expected. Experimental results show that the addition of the Wiener filter is more effective than the case of applying the non-negative matrix factorization method.

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그림 1. 제안하는 방법의 블록도 Fig. 1. Block diagram for the proposed method

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그림 2. SNR 테스트를 위한 블록도 Fig. 2. Block diagram for SNR test

표 1. 기존 대표 방법과 실시간 NMF간 성능 평가 결과 Table 1. Performance evaluation results between the proposed method and conventional NMF

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표 2. 후처리 연동 방법과 기존 NMF간 성능 평가 결과 Table 2. Performance evaluation results between the proposed method and conventional NMF

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Acknowledgement

Supported by : 동의대학교

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