Genre Classification of Music by Tonal Harmony

TitleGenre Classification of Music by Tonal Harmony
Publication TypeConference Paper
Year of Publication2008
Conference NameInternational Workshop on Machine Learning and Music, International Conference on Machine Learning
AuthorsPerez-Sancho, C., Rizo D., Kersten S., & Ramirez R.
AbstractWe present a genre classification framework for audio music based on a symbolic classification system. Audio signals are transformed to a symbolic representation of harmony using a chord transcription algorithm, by computing Harmonic Pitch Class Profiles. Then, language models built from a groundtruth of chord progressions for each genre are used to perform classification. We show that chord progressions are a suitable feature to represent musical genre, as they capture the harmonic rules relevant in each musical period or style.