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It is likely that the same approach can be extended to less structured music, like popular or ethnic music. It is assumed that a hierarchical relationship exists among music structures, from musical phrases at the lower level to movements at the higher level. MO units are computed by analyzing the musical score, applying rules for structure identification and segmenting the score in units that correspond to low-level structures. The computation of MO units should be carried out using the global information of the score, but it has been proposed an algorithm that uses only local information and gave results comparable to more complex ones (Cambouropoulos, 1997).

Orio, N. (1999). Musical information retrieval using melodic surface. In Proceedings of the ACM Conference on Digital Libraries (pp. 152-160). Melucci, M. & Orio, N. (2004). Combining melody processing and information retrieval techniques: Methodology, evaluation, and system implementation. Journal of the American Society for Information Science and Technology, 55(12), 1058-1066. Middleton, R. (2002). Studying popular music. Philadelphia: Open University Press. Moen, W. E. (1998). Accessing distributed cultural heritage information.

1 --- N ∞ IOI A b P s. i t c h N ∞ 1 --- R e l. N PIT ∞ the DD approach, lexical units may be different from an index to the other, because IOI patterns may not correspond to PIT or BTH patterns, and vice versa. It can be noted that any combination reported in the table, eventually varying quantization, can be used to index music documents from melodic information. An extensive evaluation of the retrieval effectiveness of any combination of choice—and their merging with data fusion techniques—has not been carried out yet.