Majorization-minimization algorithm for smooth Itakura-Saito nonnegative matrix factorization

Nonnegative matrix factorization (NMF) with the Itakura-Saito divergence has proven efficient for audio source separation and music transcription, where the signal power spectrogram is factored into a "dictionary" matrix times an "activation" matrix. Given the nature of audio sig...

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Bibliographic Details

Published in:	2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 1980 - 1983
Main Author:	Fevotte, Cedric
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2011
Subjects:	audio signal representation Itakura-Saito divergence Kernel Markov processes Minimization Nonnegative matrix factorization (NMF) Optimization Polynomials regularization by smoothness Signal processing algorithms single-channel source separation Spectrogram
ISBN:	9781457705380, 1457705389
ISSN:	1520-6149
Online Access:	Get full text
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