Robert Crimi, Calvin Hicks, Charles Luckhardt, and Camille Noufi
The intersection between music and computation, or commonly referred to as computational music analysis, is a growing field. Over the last few weeks, I was fortunate enough to be a part of a team that immersed themselves in the field. In specific, the team…
We are currently looking into a genre classification method, along with which musical features most strongly contribute to what defines a song’s genre. Part of this initiative included looking at lyrics for each song. This is to…
Data mining has useful classification methods for the data analysis and prediction. One of them is decision tree induction, which is the learning of decision trees from the class-labeled dataset. It can provide an easy way to understand the…
by Robert Crimi and Tae Kim
In an effort to develop algorithms to help predict musical genre, it is very important to know which genres are concentrated around specific geographical locations. From these relationships…
