Generating Real Time Adaptive Game Music
Date
2021
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Tartu Ülikool
Abstract
This thesis aims to construct and train an LSTM-based machine learning model that can
automatically generate real time adaptive video game music. In order to demonstrate its
capabilities, a game using the model’s music is developed. A review of similar existing works
and the methodology of the thesis is provided, as well as the analysis of the final product.
Description
Keywords
Video game music, artificial intelligence, LSTM