Quotation Hochreiter, Ronald. 2006. Audible Convergence for Optimal Base Melody Extension with Statistical Genre-Specific Interval Distance Evaluation. Lecture Notes in Computer Science 3907 712-716.


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Abstract

In this paper, an evolutionary algorithm is used to calculate optimal extensions of a base melody line by statistical interval-distance minimiza- tion. Applying an evolutionary algorithm for solving such an optimiza- tion problem reveals the e®ect of audible convergence, when iterations of the optimization process, which represent sub-optimal melody lines, are combined to a musical piece. An example is provided to evaluate the algorithm, and to point out di®erences of the ¯nal score, when di®er- ent musical genres, represented by di®erent interval distance classi¯cation schemes, are applied.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal Lecture Notes in Computer Science (LNCS)
WU-Journal-Rating new STRAT-C
Language English
Title Audible Convergence for Optimal Base Melody Extension with Statistical Genre-Specific Interval Distance Evaluation
Volume 3907
Year 2006
Page from 712
Page to 716
Reviewed? Y
URL http://homepage.univie.ac.at/ronald.hochreiter/pub/preprint/h-audconv-full.pdf

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Hochreiter, Ronald (Details)
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Institute for Statistics and Mathematics IN (Details)
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