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http://dx.doi.org/10.7776/ASK.2009.28.8.697

Blind Rhythmic Source Separation  

Kim, Min-Je (한국전자통신연구원 방통융합미디어연구부)
Yoo, Ji-Ho (포항공과대학교 컴퓨터공학과)
Kang, Kyeong-Ok (한국전자통신연구원 방통융합미디어연구부)
Choi, Seung-Jin (포항공과대학교 컴퓨터공학과)
Publication Information
The Journal of the Acoustical Society of Korea / v.28, no.8, 2009 , pp. 697-705 More about this Journal
Abstract
An unsupervised (blind) method is proposed aiming at extracting rhythmic sources from commercial polyphonic music whose number of channels is limited to one. Commercial music signals are not usually provided with more than two channels while they often contain multiple instruments including singing voice. Therefore, instead of using conventional modeling of mixing environments or statistical characteristics, we should introduce other source-specific characteristics for separating or extracting sources in the under determined environments. In this paper, we concentrate on extracting rhythmic sources from the mixture with the other harmonic sources. An extension of nonnegative matrix factorization (NMF), which is called nonnegative matrix partial co-factorization (NMPCF), is used to analyze multiple relationships between spectral and temporal properties in the given input matrices. Moreover, temporal repeatability of the rhythmic sound sources is implicated as a common rhythmic property among segments of an input mixture signal. The proposed method shows acceptable, but not superior separation quality to referred prior knowledge-based drum source separation systems, but it has better applicability due to its blind manner in separation, for example, when there is no prior information or the target rhythmic source is irregular.
Keywords
Blind Source Separation; Nonnegative Matrix Factorization; Nonnegative Matrix Partial Co-Factorization; Rhythmic Source Separation; Musical Information REtrieval;
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