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Author Pikrakis, Aggelos ♦ Theodoridis, Sergios
Source CiteSeerX
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Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Abstract web: www.di.uoa.gr This paper presents a structure mining scheme for music recordings. The term adaptive refers to the fact that the method relies on an adaptive scheme to detect similarity on the diagonals of the self-similarity matrix of the recording and removes the need for hard thresholds during this processing stage. Structural analysis is subsequently cast in a clustering framework. The output of the adaptive scheme is used to initialize a hierarchical data clustering algorithm whose output is a representation of the recording in terms of non-overlapping repeating patterns. The proposed method has been evaluated on a corpus of popular music recordings and various performance measures have been computed. 1.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article