Literature DB >> 33733133

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

Filippo Carnovalini1, Antonio Rodà1.   

Abstract

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.
Copyright © 2020 Carnovalini and Rodà.

Entities:  

Keywords:  algorithmic composition; automatic composition; computational creativity; computer music; meta-review; music generation; musical metacreation; survey

Year:  2020        PMID: 33733133      PMCID: PMC7861321          DOI: 10.3389/frai.2020.00014

Source DB:  PubMed          Journal:  Front Artif Intell        ISSN: 2624-8212


  11 in total

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Journal:  Phys Life Rev       Date:  2013-08-20       Impact factor: 11.025

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Authors:  Geraint A Wiggins
Journal:  Phys Life Rev       Date:  2018-05-07       Impact factor: 11.025

9.  Modelling Creativity: Identifying Key Components through a Corpus-Based Approach.

Authors:  Anna Jordanous; Bill Keller
Journal:  PLoS One       Date:  2016-10-05       Impact factor: 3.240

10.  Learning and Consolidation as Re-representation: Revising the Meaning of Memory.

Authors:  Geraint A Wiggins; Abdelrahman Sanjekdar
Journal:  Front Psychol       Date:  2019-04-30
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  1 in total

1.  Am I (Deep) Blue? Music-Making AI and Emotional Awareness.

Authors:  Nicholas Novelli; Shannon Proksch
Journal:  Front Neurorobot       Date:  2022-06-21       Impact factor: 3.493

  1 in total

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