Volume 4 Number 1 (Feb. 2014)
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IJEEEE 2014 Vol.4(1): 32-36 ISSN: 2010-3654
DOI: 10.7763/IJEEEE.2014.V4.297

Detection of Historical Period in Symbolic Music Text

Michele Della Ventura
Abstract— Despite the various studies on computer-aided musical analysis, there have been relatively few attempts at trying to locate, by means of analysis, a given melody in a certain stylistic period (Baroque, Classical, Romantic or Contemporary). The main problem is that a compositional style of a certain historic period is difficult to formalize. This study presents a model of analysis based on the theories of Warren Weaver and Claude Elwood Shannon, able to progressively explore the symbolic level of a melody, identifying the historic period on the basis of the information that it carries. The concept of information has already been used for several years now in linguistic analysis and it has also been applied to musical language. This approach was dealt with on the melodic level, omitting concepts like tonality, modulation and moreover rhythm. The efficiency of the model was verified by analyzing a series of melodies by different authors and from different times (trying to range through the different compositional techniques by means of a unique analysis methodology) emphasizing both the strong points and the weak points of the approach.

Index Terms— Information theory, musical surface, historical analysis, segmentation, entropy.

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

Cite: Michele Della Ventura, " Detection of Historical Period in Symbolic Music Text," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 4, no. 1, pp. 32-36, 2014.

General Information

ISSN: 2010-3654 (Online)
Abbreviated Title: Int. J. e-Educ. e-Bus. e-Manag. e-Learn.
Frequency: Quarterly
Editor-in-Chief: Prof. Kuan-Chou Chen
Executive Editor: Ms. Nancy Lau
Abstracting/ Indexing: EBSCO, Google Scholar, Electronic Journals Library, QUALIS, ProQuest, INSPEC (IET)
E-mail: ijeeee@iap.org
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