Artículo
A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends
Autor/es | Civit, Miguel
Civit Masot, Javier Cuadrado, Francisco Escalona Cuaresma, María José |
Departamento | Universidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadores Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2022-12 |
Fecha de depósito | 2022-12-02 |
Publicado en |
|
Premios | Premio Mensual Publicación Científica Destacada de la US. Escuela Técnica Superior de Ingeniería Informática |
Resumen | Currently available reviews in the area of artificial intelligence-based music generation do not provide a wide range of publications and are usually centered around comparing very specific topics between a very limited ... Currently available reviews in the area of artificial intelligence-based music generation do not provide a wide range of publications and are usually centered around comparing very specific topics between a very limited range of solutions. Best surveys available in the field are bibliography sections of some papers and books which lack a systematic approach and limit their scope to only handpicked examples In this work, we analyze the scope and trends of the research on artificial intelligence-based music generation by performing a systematic review of the available publications in the field using the Prisma methodology. Furthermore, we discuss the possible implementations and accessibility of a set of currently available AI solutions, as aids to musical composition. Our research shows how publications are being distributed globally according to many characteristics, which provides a clear picture of the situation of this technology. Through our research it becomes clear that the interest of both musicians and computer scientists in AI-based automatic music generation has increased significantly in the last few years with an increasing participation of mayor companies in the field whose works we analyze. We discuss several generation architectures, both from a technical and a musical point of view and we highlight various areas were further research is needed. |
Agencias financiadoras | Ministerio de Ciencia, Innovación y Universidades (Spanish Government) PID2019-105455GB-C31 Consejería de Economía y Conocimiento (Junta de Andalucía) US-1251532 |
Identificador del proyecto | PID2019-105455GB-C31
US-1251532 |
Cita | Civit, M., Civit Masot, J., Cuadrado, . y Escalona Cuaresma, M.J. (2022). A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends. Expert Systems with Applications, 209 (118190). https://doi.org/10.1016/j.eswa.2022.118190. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
ESA_civit-masot_2022_systematic.pdf | 1.631Mb | [PDF] | Ver/ | |