Using a Language Model to Generate Music in Its Symbolic Domain While Controlling Its Perceived Emotion

This work proposes a transformer-based model capable of generating music in its symbolic domain, in a controllable fashion. The ultimate goal of this is to build a system with which people can compose music collaboratively with a computer. Using an NLP model as a base (GPT-2), we take advantage of t...

Full description

Bibliographic Details

Published in:	IEEE Access
Main Authors:	Naomi Imasato, Kazuki Miyazawa, Caitlin Duncan, Takayuki Nagai
Format:	Article
Language:	English
Published:	IEEE 2023-01-01
Subjects:	AI music composition controlled music generation deep learning language model autoregressive model
Online Access:	https://ieeexplore.ieee.org/document/10138187/