Honors College Thesis

 

Music Generation and Evaluation Using R Public Deposited

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https://ir.library.oregonstate.edu/concern/honors_college_theses/q524jv984

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  • The main goal of this project is to implement an algorithmic music composition procedure and present all procedures and results in a reproducible fashion by creating a web application produced by R. To approach the implementation of the algorithmic composition of music, we start by exploring various models, but ultimately we sample musical notes using a stochastic approach, specifically by employing a Hidden Markov Model using methods found in an article titled "Classical Music Composition Using State Space Models'' authored by Anna K. Yanchenko and Sayan Mukherjee. The process of music generation and evaluation will be documented and made reproducible by the development of a complementary web application to allow for easy visualization, verification, and widespread use of the developed methods.
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