Online Music Generator for Computer Games Based on Neural Networks

Wencierski K, Solarska D, Parkhanovich D, Kubzdela K, Lukasik E. Online Music Generator for Computer Games Based on Neural Networks. In: AES Convention 154. Audio Engineering Society; 2023. Paper 105. Available from: https://aes.org/publications/elibrary-page/?id=22077

@inproceedings{Wencierski2023_22077,
  author = {Wencierski, Kajetan and Solarska, Dorota and Parkhanovich, Daniel and Kubzdela, Konrad and Lukasik, Ewa},
  title = {{Online Music Generator for Computer Games Based on Neural Networks}},
  booktitle = {AES Convention 154},
  note = {Paper 105},
  year = {2023},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=22077}
}

TY  - CPAPER
TI  - Online Music Generator for Computer Games Based on Neural Networks
AU  - Wencierski, Kajetan
AU  - Solarska, Dorota
AU  - Parkhanovich, Daniel
AU  - Kubzdela, Konrad
AU  - Lukasik, Ewa
T2  - AES Convention 154
M1  - Paper 105
PY  - 2023
DA  - 2023/05/06
UR  - https://aes.org/publications/elibrary-page/?id=22077
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -