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Music self-similarity modeling using augmented nonnegative matrix factorization of block and stripe patterns
2013
2013 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Self-similarity matrices have been widely used to analyze the sectional form of music signals, e.g. enabling the detection of parts such as verse and chorus in popular music. Two main types of structures often appear in self-similarity matrices: rectangular blocks of high similarity and diagonal stripes off the main diagonal that represent recurrent sequences. In this paper, we introduce a novel method to model both the block and stripe-like structures in selfsimilarity matrices and to pull
doi:10.1109/waspaa.2013.6701855
dblp:conf/waspaa/KauppinenKV13
fatcat:3ax3tyru2jhjha2qh3ieb2ikmu