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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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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. |
format | Online Article Text |
id | pubmed-7861321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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