Let Machine Learning Harmonize That Chorale For You

In this project, I explore the effectiveness of the Naive Bayes Classifier and the Hidden Markov Model in generating Alto-Tenor-Bass harmonies for a given Soprano line. Basing these models on the corpus of Bach’s chorales, I measured the predictive accuracy of each model on a test set to obtain an empirical perspective on the musical correctness of my models’ harmonizations. I found that both models ultimately produced qualitatively “pleasing” harmonizations, and they were each marginally accurate at best in predicting harmonies for each note.