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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Editor-in-chief
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2015 Vol.3(3): 210-213 ISSN: 2301-3559
DOI: 10.7763/LNSE.2015.V3.192

Discovering Hidden Themes in Symbolic Music Text

Michele Della Ventura
Abstract—The algorithm proposed in this article, in order to identify the (“concealed”) motif hidden among the notes of a musical composition represents, a revision of a previous algorithm (by Michele Della Ventura), based on the concept of “structural similarity”: the motif, though being hidden among melodic figurations, maintained the rhythmic and melodic structure unaltered (even if it was subjected to transposition). The current algorithm dealt with the issue of identifying the melody hidden among the melodic figurations which change its structural characteristics, thus making its identification very complex. The comparison between a melodic segment and the melody taken as a “model” will be made by constructing the Trellis Diagram. The new algorithm works out correctly even in case of analysis of the same set of scores analyzed by the previous algorithm.

Index Terms—Musical surface, segmentation, similarity matrix, motif, trellis, musical variation.

Della Ventura Michele is with the Music Academy “Studio Musica” Department of Music Technology, 31100 Treviso, Italy (e-mail: michele.dellaventura@tin.it).

[PDF]

Cite: Michele Della Ventura, "Discovering Hidden Themes in Symbolic Music Text," Lecture Notes on Software Engineering vol. 3, no. 3, pp. 210-213, 2015.

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