Convex non-negative matrix factorization for automatic music structure identification

We propose a novel and fast approach to discover structure in western popular music by using a specific type of matrix factorization that adds a convex constrain to obtain a decomposition that can be interpreted as a set of weighted cluster centroids. We show that these centroids capture the differe...

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Bibliographic Details

Published in:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) pp. 236 - 240
Main Authors:	Nieto, Oriol, Jehan, Tristan
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.05.2013
Subjects:	Clustering algorithms Conferences Feature extraction Matrix decomposition matrix factorization Music information retrieval music structure analysis segmentation Sparse matrices Vectors
ISSN:	1520-6149
Online Access:	Get full text
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