Oriental Journal of Computer Science and Technology

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Machine Learning in Music Generation


Affiliations
1 BISITE Digital Innovation Hub, University of Salamanca. Edificio Multiusos I+D+i, Salamanca, Spain
2 Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka, Japan
 

The different computational advances in the field of Artificial Intelligence (AI) have attracted the attention of researchers with all kinds of origins, background and motivations. From an interdisciplinary research that sits at the intersection of the fields of AI, psychology, cognitive science, linguistics, anthropology and other human-centered sciences born the area of Computational Creativity (CC). CC can be defined as a “philosophy, science and engineering of computational systems which, by taking on particular responsibilities, exhibit behaviours that unbiased observers would deem to be creative”.
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  • Machine Learning in Music Generation

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Authors

Maria Navarro
BISITE Digital Innovation Hub, University of Salamanca. Edificio Multiusos I+D+i, Salamanca, Spain
Juan M. Corchado
Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka, Japan

Abstract


The different computational advances in the field of Artificial Intelligence (AI) have attracted the attention of researchers with all kinds of origins, background and motivations. From an interdisciplinary research that sits at the intersection of the fields of AI, psychology, cognitive science, linguistics, anthropology and other human-centered sciences born the area of Computational Creativity (CC). CC can be defined as a “philosophy, science and engineering of computational systems which, by taking on particular responsibilities, exhibit behaviours that unbiased observers would deem to be creative”.

References