RESEARCH ON THE CONSTRUCTION OF AI COMPOSITION SYSTEM BASED ON HMM

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Yegah Müzikoloji Dergisi
Volume:7 Issue:3
RESEARCH ON THE CONSTRUCTION OF AI COMPOSITION SYSTEM BASED ON HMM

RESEARCH ON THE CONSTRUCTION OF AI COMPOSITION SYSTEM BASED ON HMM

Authors : Weijia Yang, Inho Lee

Pages : 216-240

Doi:10.51576/ymd.1536267

View : 144 | Download : 105

Publication Date : 2024-09-23

Article Type : Research Paper

Abstract :The Markov chain is an automatic accompaniment algorithm for intelligent computer systems, belonging to the interdisciplinary research field of musicology and computer science. Currently, there are many methods for AI music generation, but research on AI music generation based on the Hidden Markov Model (HMM) is relatively scarce. This paper proposes a method for constructing an AI composition system based on the HMM. This system achieves the goal of automatically generating accompaniment music from score data. The proposed system has achieved relatively stable results in the generation of musical elements such as form and harmony, accompaniment texture, and instrumentation, and has scored well in evaluation experiments.
Keywords : Otomatik eşlik algoritması, Yapay Zeka, Beste, Popüler müzik, Hidden Markov Model

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