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Non-negative matrix factorization for polyphonic music transcription

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2 Author(s)
P. Smaragdis ; Mitsubishi Electr. Res. Lab, Cambridge, MA, USA ; J. C. Brown

We present a methodology for analyzing polyphonic musical passages comprised of notes that exhibit a harmonically fixed spectral profile (such as piano notes). Taking advantage of this unique note structure, we can model the audio content of the musical passage by a linear basis transform and use non-negative matrix decomposition methods to estimate the spectral profile and the temporal information of every note. This approach results in a very simple and compact system that is not knowledge-based, but rather learns notes by observation.

Published in:

Applications of Signal Processing to Audio and Acoustics, 2003 IEEE Workshop on.

Date of Conference:

19-22 Oct. 2003