User-defined music sequence retrieval
MULTIMEDIA '00 Proceedings of the eighth ACM international conference on Multimedia
A fast algorithm for automatic key segment extraction for popular songs
SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Music genre classification using a time-delay neural network
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
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Advances in networking and transmission of digital multimedia data will bring soon huge catalogues of music to users. Accessing these catalogues raises a problem for users and content providers, that we define as the music selection problem. We introduce three main goals to be satisfied in music selection: match user preferences, provide users with new music, and exploit the catalogue in an optimal fashion. We propose a novel approach to music selection, based on computing coherent sequences of music titles, and show that this amounts to solving a combinatorial pattern generation problem. We propose constraint satisfaction techniques to solve it. The resulting system is an enabling technology to build better music delivery services.