Generating Mixcode Popular Songs with Artificial Intelligence: Concepts, Plans, and Speculations
Abstract
Music is a potent form of expression that can communicate, accentuate or even create the emotions of an individual or a collective. Both historically and in contemporary experiences, musical expression was and is commonly instrumentalized for social, political and/or economic purposes. Generative artificial intelligence provides a wealth of both opportunities and challenges with regard to music and its role in society. This paper discusses a proposed project integrating artificial intelligence and popular music, with the ultimate goal of creating a powerful tool for implementing music for social transformation, education, healthcare, and emotional well-being. Given that it is being presented at the outset of a collaboration between a computer scientist/data analyst and an ethnomusicologist/social anthropologist. it is mainly conceptual and somewhat speculative in nature.
Cite
@article{arxiv.2411.06420,
title = {Generating Mixcode Popular Songs with Artificial Intelligence: Concepts, Plans, and Speculations},
author = {Abhishek Kaushik and Kayla Rush},
journal= {arXiv preprint arXiv:2411.06420},
year = {2024}
}
Comments
Link to the paper:https://aimc2024.pubpub.org/pub/rdulfbve/release/1 Published in The International Conference on AI and Musical Creativity at the University of Oxford (2024) https://aimc2024.pubpub.org/