TR2003-139
Non-Negative Matrix Factorization for Polyphonic Music Transcription
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- , "Non-negative Matrix Factorization for Polyphonic Music Transcription", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), October 2003, pp. 177-180.BibTeX TR2003-139 PDF
- @inproceedings{Smaragdis2003oct,
- author = {Smaragdis, P. and Brown, J.C.},
- title = {Non-negative Matrix Factorization for Polyphonic Music Transcription},
- booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
- year = 2003,
- pages = {177--180},
- month = oct,
- url = {https://www.merl.com/publications/TR2003-139}
- }
- , "Non-negative Matrix Factorization for Polyphonic Music Transcription", IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), October 2003, pp. 177-180.
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Research Areas:
Abstract:
In this paper we present a methodology for analyzing polyphonic musical passages comprised by 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.
Related News & Events
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NEWS WASPAA 2003: 2 publications by MERL researchers and others Date: October 20, 2003
Where: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)Brief- The papers "Non-negative Matrix Factorization for Polyphonic Music Transcription" by Smaragdis, P. and Brown, J.C. and "Multi-Channel Source Separation by Beamforming Trained with Factorial HMMS" by Reyes-Gomez, M.J., Raj, B. and Ellis, D.P.W. were presented at the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA).