Music Composition with Deep Learning: A Review

Generating a complex work of art such as a musical composition requires exhibiting true creativity that depends on a variety of factors that are related to the hierarchy of musical language. Music generation have been faced with Algorithmic methods and recently, with Deep Learning models that are be...

Full description

Saved in:
Bibliographic Details
Published inarXiv.org
Main Authors Hernandez-Olivan, Carlos, Beltran, Jose R
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 07.09.2021
Subjects
Composition
Computer vision
Creativity
Deep learning
Machine learning
Music
Musical composition
Online AccessGet full text

Cover

More Information
Summary:Generating a complex work of art such as a musical composition requires exhibiting true creativity that depends on a variety of factors that are related to the hierarchy of musical language. Music generation have been faced with Algorithmic methods and recently, with Deep Learning models that are being used in other fields such as Computer Vision. In this paper we want to put into context the existing relationships between AI-based music composition models and human musical composition and creativity processes. We give an overview of the recent Deep Learning models for music composition and we compare these models to the music composition process from a theoretical point of view. We have tried to answer some of the most relevant open questions for this task by analyzing the ability of current Deep Learning models to generate music with creativity or the similarity between AI and human composition processes, among others.
ISSN:2331-8422