This post is report of meeting at January 24, 2014.
Presenter: Chamila Karunatilake
Title: Music Genre Classification based on Chord Progression
His research focuses on music genre classification of musical signals based on the chord progressions. To extract the chord-based features from the musical signals, chroma vector named pitch class profile (PCP) is used. Instead of using chord labeling from the PCP to perform the classification, PCPs are directly used alone with chord progression templates. Chord progressions templates are vectors which have the same structure of PCPs and they represent the musical knowledge of the common and representative chord patterns of different music genres. He will experiment with more data and enhance the chord classification method.
At the end of meeting, we reportd on progress of our graduation (or master) thesis.