Neural-Base Music Generation for Intelligence Duplication
Abstract
There are two aspects of machine learning and artificial intelligence: (1) interpreting information, and (2) inventing new useful information. Much advance has been made for (1) with a focus on pattern recognition techniques (e.g., interpreting visual data). This paper focuses on (2) with intelligent duplication (ID) for invention. We explore the possibility of learning a specific individual's creative reasoning in order to leverage the learned expertise and talent to invent new information. More specifically, we employ a deep learning system to learn from the great composer Beethoven and capture his composition ability in a hash-based knowledge base. This new form of knowledge base provides a reasoning facility to drive the music composition through a novel music generation method.
Cite
@article{arxiv.2310.13691,
title = {Neural-Base Music Generation for Intelligence Duplication},
author = {Jacob Galajda and Kien Hua},
journal= {arXiv preprint arXiv:2310.13691},
year = {2023}
}