A cluster analysis of harmony in the McGill Billboard dataset

A cluster analysis of harmony in the McGill Billboard dataset

We set out to perform a cluster analysis of harmonic structures (specifically, chord-to-chord transitions) in the McGill Billboard dataset, to determine whether there is evidence of multiple harmonic grammars and practices in the corpus, and if so, what the optimal division of songs, according to th...

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Bibliographic Details
Main Authors: Kris Shaffer, Esther Vasiete, Brandon Jacquez, Aaron Davis, Diego Escalante, Calvin Hicks, Joshua McCann, Camille Noufi, Paul Salminen
Format: Article
Language:English
Published: The Ohio State University Libraries 2020-07-01
Series:Empirical Musicology Review
Subjects:
mcgill billboard dataset
pop/rock
rock
cluster analysis
machine learning
harmonic syntax
transitional probability
visualization
Online Access:https://emusicology.org/article/view/5576

Internet

https://emusicology.org/article/view/5576

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