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http://dx.doi.org/10.7776/ASK.2010.29.2.102

Music Transcription Using Non-Negative Matrix Factorization  

Park, Sang-Ha (서울대학교 전기.컴퓨터공학부 뉴미디어통신 공동연구소 음향공학 연구실)
Lee, Seok-Jin (서울대학교 전기.컴퓨터공학부 뉴미디어통신 공동연구소 음향공학 연구실)
Sung, Koeng-Mo (서울대학교 전기.컴퓨터공학부 뉴미디어통신 공동연구소 음향공학 연구실)
Publication Information
The Journal of the Acoustical Society of Korea / v.29, no.2, 2010 , pp. 102-110 More about this Journal
Abstract
Music transcription is extracting pitch (the height of a musical note) and rhythm (the length of a musical note) information from audio file and making a music score. In this paper, we decomposed a waveform into frequency and rhythm components using Non-Negative Matrix Factorization (NMF) and Non-Negative Sparse coding (NNSC) which are often used for source separation and data clustering. And using the subharmonic summation method, fundamental frequency is calculated from the decomposed frequency components. Therefore, the accurate pitch of each score can be estimated. The proposed method successfully performed music transcription with its results superior to those of the conventional methods which used either NMF or NNSC.
Keywords
Non Negative Factorization; Music Transcription; Subharmonic Summation;
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