Project milestone : Generating music with Machine Learning
This report outlines various approaches to music composition through Naive Bayes and Neural Network models, and although there were some mixed results by the model, it is evident that musical ideas can be gleaned from these algorithms in hopes of making a new piece of music.
Abstract
Composing music is a very interesting challenge that tests the composer’s creative capacity, whether it a human or a computer. Although there have been many arguments on the matter, almost all of music is some regurgitation or alteration of a sonic idea created before. Thus, with enough data and the correct algorithm, machine learning should be able to make music that would sound human. This report outlines various approaches to music composition through Naive Bayes and Neural Network models, and although there were some mixed results by the model, it is evident that musical ideas can be gleaned from these algorithms in hopes of making a new piece of music.