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Genre Learning: A Machine Learning Approach

Genre Learning: A Machine Learning Approach

Robert Crimi, Calvin Hicks, Charles Luckhardt, and Camille Noufi
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Robert Crimi
Looking at Song Genres, Release Year, and Time Signature

Looking at Song Genres, Release Year, and Time Signature

The graphs above show time signature vs. year, along with year. vs. genre. If we look at Fig. 1, we can see that certain time signatures…
Go to the profile of paul salminen
paul salminen
A Closer Look at the Million Song Dataset

A Closer Look at the Million Song Dataset

The intersection between music and computation, or commonly referred to as computational music analysis, is a growing field. Over the last…
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Jeremy
Decision Tree Induction on the Million Song Dataset

Decision Tree Induction on the Million Song Dataset

Data mining has useful classification methods for the data analysis and prediction. One of them is decision tree induction, which is the…
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TG
Topic Modelling Song Lyrics from the Million Song Dataset

Topic Modelling Song Lyrics from the Million Song Dataset

We are currently looking into a genre classification method, along with which musical features most strongly contribute to what defines a…
Go to the profile of paul salminen
paul salminen
Correlating Musical Genre to Geographic Location

Correlating Musical Genre to Geographic Location

by Robert Crimi and Tae Kim
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Robert Crimi
Does Harmony Influence Musical Style/Genre?

Does Harmony Influence Musical Style/Genre?

Camille Noufi and Brandon Jacquez
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Brandon Jacquez
Harmonic Progression and Genre as Understood Through Cluster Analysis

Harmonic Progression and Genre as Understood Through Cluster Analysis

Joshua McCann and Calvin Hicks
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Joshua McCann
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