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Computer models of similarity in musical pieces based on the multi-dimensional patterns

Mazurowski Ł., Wiliński A.

Journal of Applied Computer Science

2012

Vol. 20, nr 2

79-94

This paper describes the problem of recognizing similarities in musical pieces in order to cluster and classify them with particular reference to the files stored according to the MIDI standard. The analysis of the similarity between artificially generated musical pieces to those that have been composed by a man which is carried out in order not to infringe copyrights to the existing pieces is the area of further use of the method presented. The article presents different existing methodological approaches and proposes the use of histograms of selected parameters of musical sound as a mechanism of aggregation of musical clusters potentially belonging to one group of similar musical pieces.

Koncepcja generowania utworu muzycznego przez maszynę – akt sztucznej twórczości opartej na algorytmach genetycznych

Mazurowski Ł., Wiliński A.

Metody Informatyki Stosowanej

2008

nr 3 (Tom 16)

203--212

The paper presents the examples of melodic line generated in a completely automated way, without human participation, using genetic algorithms, authors’ concepts and implementations. Fitness functions used in the algorithm consider several perceptual aspects of esthetical evaluation of musical creations. Hence the following do not occur in the generated individuals-compositions: dissonance, excessive frequency range, excessive tonal volatility. The artistic value of compositions was not assessed, since this could be accomplished only through statistical listeners’ polling, nevertheless the compositions do not irritate, staying in compliance with human esthetical paradigm.