An adaptive music generation architecture for games based on the deep learning Transformer model
Author:
Affiliation:
1. PUC-Rio,Dept of Informatics,Rio de Janeiro,Brazil
2. CNRS - Sorbonne Université & PUC-Rio,LIP6 & Dept. of Informatics,Paris,France
Funder
CNPq (Brazil)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9960946/9961070/09961081.pdf?arnumber=9961081
Reference42 articles.
1. Interactive Music and Synchronous Reactive Programming
2. Music Matters: An empirical study on the effects of adaptive music on experienced and perceived player affect
3. The musician in the machine;jeffries;Magenta Blog,2020
4. Illustrated guide to Transformers – step by step explanation;phi;Towards Data Science,2020
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. MtArtGPT: A Multi-Task Art Generation System With Pre-Trained Transformer;IEEE Transactions on Circuits and Systems for Video Technology;2024-08
2. Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generation;Lecture Notes in Computer Science;2024
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