Building a fitness function for automated classical melody evaluation

Algorithmic Composition for music is a progressive field of study. The success of automated music-generation, however, depends heavily on the fitness function that is used to evaluate the generated music. Artificial intelligence in this context can use a

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Bibliographic Details
Main Author:	ANDREI, CORONEL
Format:	text
Published:	Archīum Ateneo 2014
Subjects:	Computer composition Algorithms Music theory > Mathematics Musical analysis Pattern formation (Physical sciences) Data mining
Online Access:	https://archium.ateneo.edu/theses-dissertations/267
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Institution:	Ateneo De Manila University

id	ph-ateneo-arc.theses-dissertations-1393
record_format	eprints
spelling	ph-ateneo-arc.theses-dissertations-13932021-04-11T05:42:03Z Building a fitness function for automated classical melody evaluation ANDREI, CORONEL Algorithmic Composition for music is a progressive field of study. The success of automated music-generation, however, depends heavily on the fitness function that is used to evaluate the generated music. Artificial intelligence in this context can use a 2014-01-01T08:00:00Z text https://archium.ateneo.edu/theses-dissertations/267 Theses and Dissertations (All) Archīum Ateneo Computer composition Algorithms Music theory -- Mathematics Musical analysis Pattern formation (Physical sciences) Data mining
institution	Ateneo De Manila University
building	Ateneo De Manila University Library
continent	Asia
country	Philippines Philippines
content_provider	Ateneo De Manila University Library
collection	archium.Ateneo Institutional Repository
topic	Computer composition Algorithms Music theory -- Mathematics Musical analysis Pattern formation (Physical sciences) Data mining
spellingShingle	Computer composition Algorithms Music theory -- Mathematics Musical analysis Pattern formation (Physical sciences) Data mining ANDREI, CORONEL Building a fitness function for automated classical melody evaluation
description	Algorithmic Composition for music is a progressive field of study. The success of automated music-generation, however, depends heavily on the fitness function that is used to evaluate the generated music. Artificial intelligence in this context can use a
format	text
author	ANDREI, CORONEL
author_facet	ANDREI, CORONEL
author_sort	ANDREI, CORONEL
title	Building a fitness function for automated classical melody evaluation
title_short	Building a fitness function for automated classical melody evaluation
title_full	Building a fitness function for automated classical melody evaluation
title_fullStr	Building a fitness function for automated classical melody evaluation
title_full_unstemmed	Building a fitness function for automated classical melody evaluation
title_sort	building a fitness function for automated classical melody evaluation
publisher	Archīum Ateneo
publishDate	2014
url	https://archium.ateneo.edu/theses-dissertations/267
_version_	1712577820937420800

Building a fitness function for automated classical melody evaluation

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