Abstract
This paper presents a speech enhancement method using non-negative matrix factorization (NMF). In the training phase, each basis matrix of source signal is obtained from a proper database, and these basis matrices are utilized for the source separation. In this case, the performance of speech enhancement relies heavily on the basis matrix. The proposed method for which speech basis matrix is made a high reconstruction error for noise signal shows a better performance than the standard NMF which basis matrix is trained independently. For comparison, we propose another method, and evaluate one of previous method. In the experiment result, the performance is evaluated by perceptual evaluation speech quality and signal to distortion ratio, and the proposed method outperformed the other methods. 논문 15-40-04-02 The Journal of Korean Institute of Communications and Information Sciences '15-04 Vol.40 No.04 http://dx.doi.org/10.7840/kics.2015.40.4.619 619 ※ 이 논문은 2012년도 정부(교육과학기술부)의 재원으로 한국연구재단의 지원을 받아 수행된 연구임(No. 2012R1A2A2A01045874). ※ 이 논문은 2014년도 대검찰청 지원을 받아 수행된 연구임. First Author : Department of Electrical and Computer Engineering and the Institute of New Media and Communications, Seoul National University, kskwon@hi.snu.ac.kr, 학생회원 ° Corresponding Author : Department of Electrical and Computer Engineering and the Institute of New Media and Communications, Seoul National University, nkim@snu.ac.kr, 종신회원 * 서울대학교 전기.정보공학부 및 뉴미디어통신공동연구소, hykim@hi.snu.ac.kr 논문번호:KICS2014-12-478, Received December 4, 2014; Revised March 13, 2015; Accepted April 15, 2015 The Journal of Korean Institute of Communications and Information Sciences '15-04 Vol.40 No.04
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