Computational Models for Folk Music Classification

Student thesis: Doctoral Thesis

Abstract

Computational folk music analysis is gaining increasing interest in recent years, revitalised by the developing field of computational ethnomusicology, the availability of advanced music data mining methods capable of dealing with very large data sets, and the existence of expanding folk song corpora on the internet. In this thesis we focus on folk music classification, and our particular interest is to investigate the relative performance of existing methods on three different folk music classification tasks.
Date of Award28 Jun 2013
Original languageEnglish
SupervisorBernard Manderick (Promotor) & Peter Swinnen (Jury)

Keywords

  • music analysis

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