Determining Musical Genre
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Authors
Bonar, Catherine
Date of Issue
2023-04-28
Type
Presentation
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Abstract
For decades, artists have been creating new styles of music and different genres based upon different inspirations. Artists are continually asked “who has inspired you?” or “what has influenced your music?” Using a dataset filled with this information about different artists and their influences, we have worked to create a predictive model that determines just how closely correlated a follower’s music is to their muse. We also used additional information about specific songs from various artists to help in our process. From keys to tempo, all songs have numeric and categorical ways that they can be quantified. Using the different numeric characteristics of music, we have found a way to predict what genre a song will fall into. Using these predictions, and understanding the numeric values of different genres, we can observe how current artists have either stayed or strayed from their influencers.