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Non-negative matrix factorization for note onset detection of audio signals

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conference contribution
posted on 02.12.2009, 12:34 by Wenwu Wang, Yuhui Luo, Jonathon Chambers, Saeid Sanei
A novel approach using non-negative matrix factorization (NMF) for onset detection of musical notes from audio signals is presented. Unlike most commonly used conventional approaches, the proposed method exploits a new detection function constructed from the linear temporal bases that are obtained from a non-negative matrix decomposition of musical spectra. Both first-order difference and psychoacoustically motivated relative difference functions of the temporal profile are considered. As the approach works directly on input data, no prior knowledge or statistical information is thereby required. A practical issue of the choice of the factorization rank is also examined experimentally. Numerical examples are provided to show the performance of the proposed method.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

WANG, W. ... et al, 2006. Non-negative matrix factorization for note onset detection of audio signals. IN: Proceedings of the 16th IEEE Signal Processing Workshop on Machine Learning for Signal Processing, Arlington, VA, 11-14 September 2006, pp. 447-452

Publisher

© IEEE

Version

VoR (Version of Record)

Publication date

2006

Notes

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ISBN

1424406560

ISSN

1551-2541

Language

en

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