Neural-Base Music Generation for Intelligence Duplication
October 20, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Jacob Galajda, Kien Hua
arXiv ID
2310.13691
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.MM
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
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.
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