Classification and Comparison of Different Folk Music Traditions Using Self Learning Algorithms

Year: 2010 Authors: Zoltán Juhász

Core claim

Self-learning algorithms can classify folk melodies into cultural families and quantify non-random connections between traditions.

Topics

folk song classification, cultural comparison, melody contour, self-organizing map, multidimensional scaling

Domains

machine learning, multivariate analysis, probability, combinatorics, musicology, ethnomusicology, music visualization

Methods

melody contour sampling, self organizing map, multidimensional scaling, intersection probability

Media

digital notations, folk song databases, melody contour vectors, graphs

Source status

This page publishes metadata and extracted analytical signals only. Raw PDF and full OCR text are kept local for now.