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.

RIS

@ARTICLE{Hochreiter2006,
title = {Audible Convergence for Optimal Base Melody Extension with Statistical Genre-Specific Interval Distance Evaluation},
author = {Ronald Hochreiter},
year = {2006},
url = {http://homepage.univie.ac.at/ronald.hochreiter/pub/preprint/h-audconv-full.pdf},
publisher = {Springer},
volume = {3907},
language = {EN},
pages = {712-716},
series = {Audible Convergence for Optimal Base Melody Extension with Statistical Genre-Specific Interval Distance Evaluation},
journal = {Lecture Notes in Computer Science (LNCS)},
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.},
}