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Music generation using neural networks is a promising approach for game developers, as it allows for creating dynamic and interactive music possible to be adapted to the gameplay. The paper presents a music generator designed for computer games that utilizes artificial neural networks and MIDI compositions for games as a training set. The generator is targeted at low-budget projects and independent game developers. It is a complete Internet application that enables music generation of specified positive or negative sentiment. It applies procedural composition elements and enables manual tempo and pitch range setting. The generated music is presented as a piano roll. In editing mode, the user can change the pitch of an individual note, add and remove some notes, and add some sound effects. It is also possible to input a starting piece of melody that the generator will further develop into the full track.
Author (s): Wencierski, Kajetan; Solarska, Dorota; Parkhanovich, Daniel; Kubzdela, Konrad; Lukasik, Ewa
Affiliation:
Poznan University of Technology, Poznan, Poland; Poznan University of Technology, Poznan, Poland; Poznan University of Technology, Poznan, Poland; Poznan University of Technology, Poznan, Poland; Poznan University of Technology, Poznan, Poland
(See document for exact affiliation information.)
AES Convention: 154
Paper Number:105
Publication Date:
2023-05-06
Import into BibTeX
Session subject:
Neural Networks
Permalink: https://aes2.org/publications/elibrary-page/?id=22077
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Wencierski, Kajetan; Solarska, Dorota; Parkhanovich, Daniel; Kubzdela, Konrad; Lukasik, Ewa; 2023; Online Music Generator for Computer Games Based on Neural Networks [PDF]; Poznan University of Technology, Poznan, Poland; Poznan University of Technology, Poznan, Poland; Poznan University of Technology, Poznan, Poland; Poznan University of Technology, Poznan, Poland; Poznan University of Technology, Poznan, Poland; Paper 105; Available from: https://aes2.org/publications/elibrary-page/?id=22077
Wencierski, Kajetan; Solarska, Dorota; Parkhanovich, Daniel; Kubzdela, Konrad; Lukasik, Ewa; Online Music Generator for Computer Games Based on Neural Networks [PDF]; Poznan University of Technology, Poznan, Poland; Poznan University of Technology, Poznan, Poland; Poznan University of Technology, Poznan, Poland; Poznan University of Technology, Poznan, Poland; Poznan University of Technology, Poznan, Poland; Paper 105; 2023 Available: https://aes2.org/publications/elibrary-page/?id=22077
@article{wencierski2023online,
author={wencierski kajetan and solarska dorota and parkhanovich daniel and kubzdela konrad and lukasik ewa},
journal={journal of the audio engineering society},
title={online music generator for computer games based on neural networks},
year={2023},
number={105},
month={may},}