DocumentCode :
3117168
Title :
Non-Negative Matrix Factorization for Note Onset Detection of Audio Signals
Author :
Wang, Wenwu ; Luo, Yuhui ; Chambers, Jonathon A. ; Sanei, Saeid
Author_Institution :
Tao Group Ltd., Reading
fYear :
2006
fDate :
6-8 Sept. 2006
Firstpage :
447
Lastpage :
452
Abstract :
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.
Keywords :
audio signal processing; matrix decomposition; audio signals; musical spectra; nonnegative matrix factorization; note onset detection; Audio coding; Content based retrieval; Discrete Fourier transforms; Envelope detectors; Indexing; Matrix decomposition; Music information retrieval; Psychology; Signal detection; Timbre;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning for Signal Processing, 2006. Proceedings of the 2006 16th IEEE Signal Processing Society Workshop on
Conference_Location :
Arlington, VA
ISSN :
1551-2541
Print_ISBN :
1-4244-0656-0
Electronic_ISBN :
1551-2541
Type :
conf
DOI :
10.1109/MLSP.2006.275592
Filename :
4053691
Link To Document :
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