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Classifying Parts Of Songs Nick Colonnese

Audio visualizers are programs that take in music and produce images that correspond to the music in some pleasing way. In most songs there are several different parts: the verse, chorus, a solo, and so on. Ideally, a music visualizer would change its output to match the different parts of the song. While it is quite easy for humans to detect the difference between different parts of songs the task is not straightforward for computers. This project aims to use machine learning techniques to find if different parts of a song can be classified. The goal would be that before a song is played it could be processed by the algorithm and the transitions times from one part of a song to the next could be detected with the visualizer changing its display accordingly. A similar problem is approached using a different method in [2].