Learning Harmonic Progression Using Markov Models
نویسنده
چکیده
In an effort to try to automate the learning of the structure of musical compositions, we recognize that music, like natural language, has a “deep structure” that is difficult to represent. One barrier lies in our ability to even understand the semantics of music. The computer music society is interested in the generation and representation of music, and there are preliminary investigations in learning music that serve as motivation for this project.
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