Name
Title | ||
|---|---|---|
A systematic review of artificial intelligence-based music generation: Scope, applications, and future trends |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.eswa.2022.118190 | Expert Systems with Applications |
Keywords | DocType | Volume |
Automatic music generation,Assisted music composition,Artificial intelligence,Scoping review,Human–machine co-creation | Journal | 209 |
ISSN | Citations | PageRank |
0957-4174 | 0 | 0.34 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Miguel Civit | 1 | 0 | 0.34 |
| Javier Civit-Masot | 2 | 0 | 0.34 |
| Francisco Cuadrado | 3 | 0 | 0.34 |
| María José Escalona | 4 | 192 | 25.13 |