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Computational Creativity and Music Generation Systems: An Introduction to the State of the Art

Computational Creativity is a multidisciplinary field that tries to obtain creative behaviors from computers. One of its most prolific subfields is that of Music Generation (also called Algorithmic Composition or Musical Metacreation), that uses computational means to compose music. Due to the multi...

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Detalles Bibliográficos
Autores principales: Carnovalini, Filippo, Rodà, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861321/
https://www.ncbi.nlm.nih.gov/pubmed/33733133
http://dx.doi.org/10.3389/frai.2020.00014
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author Carnovalini, Filippo
Rodà, Antonio
author_facet Carnovalini, Filippo
Rodà, Antonio
author_sort Carnovalini, Filippo
collection PubMed
description Computational Creativity is a multidisciplinary field that tries to obtain creative behaviors from computers. One of its most prolific subfields is that of Music Generation (also called Algorithmic Composition or Musical Metacreation), that uses computational means to compose music. Due to the multidisciplinary nature of this research field, it is sometimes hard to define precise goals and to keep track of what problems can be considered solved by state-of-the-art systems and what instead needs further developments. With this survey, we try to give a complete introduction to those who wish to explore Computational Creativity and Music Generation. To do so, we first give a picture of the research on the definition and the evaluation of creativity, both human and computational, needed to understand how computational means can be used to obtain creative behaviors and its importance within Artificial Intelligence studies. We then review the state of the art of Music Generation Systems, by citing examples for all the main approaches to music generation, and by listing the open challenges that were identified by previous reviews on the subject. For each of these challenges, we cite works that have proposed solutions, describing what still needs to be done and some possible directions for further research.
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spelling pubmed-78613212021-03-16 Computational Creativity and Music Generation Systems: An Introduction to the State of the Art Carnovalini, Filippo Rodà, Antonio Front Artif Intell Artificial Intelligence Computational Creativity is a multidisciplinary field that tries to obtain creative behaviors from computers. One of its most prolific subfields is that of Music Generation (also called Algorithmic Composition or Musical Metacreation), that uses computational means to compose music. Due to the multidisciplinary nature of this research field, it is sometimes hard to define precise goals and to keep track of what problems can be considered solved by state-of-the-art systems and what instead needs further developments. With this survey, we try to give a complete introduction to those who wish to explore Computational Creativity and Music Generation. To do so, we first give a picture of the research on the definition and the evaluation of creativity, both human and computational, needed to understand how computational means can be used to obtain creative behaviors and its importance within Artificial Intelligence studies. We then review the state of the art of Music Generation Systems, by citing examples for all the main approaches to music generation, and by listing the open challenges that were identified by previous reviews on the subject. For each of these challenges, we cite works that have proposed solutions, describing what still needs to be done and some possible directions for further research. Frontiers Media S.A. 2020-04-03 /pmc/articles/PMC7861321/ /pubmed/33733133 http://dx.doi.org/10.3389/frai.2020.00014 Text en Copyright © 2020 Carnovalini and Rodà. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Artificial Intelligence
Carnovalini, Filippo
Rodà, Antonio
Computational Creativity and Music Generation Systems: An Introduction to the State of the Art
title Computational Creativity and Music Generation Systems: An Introduction to the State of the Art
title_full Computational Creativity and Music Generation Systems: An Introduction to the State of the Art
title_fullStr Computational Creativity and Music Generation Systems: An Introduction to the State of the Art
title_full_unstemmed Computational Creativity and Music Generation Systems: An Introduction to the State of the Art
title_short Computational Creativity and Music Generation Systems: An Introduction to the State of the Art
title_sort computational creativity and music generation systems: an introduction to the state of the art
topic Artificial Intelligence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7861321/
https://www.ncbi.nlm.nih.gov/pubmed/33733133
http://dx.doi.org/10.3389/frai.2020.00014
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