Neural-Base Music Generation for Intelligence Duplication
- URL: http://arxiv.org/abs/2310.13691v1
- Date: Fri, 20 Oct 2023 17:52:48 GMT
- Title: Neural-Base Music Generation for Intelligence Duplication
- Authors: Jacob Galajda, Kien Hua
- Abstract summary: 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.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-sa/4.0/
- 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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