Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

A systematic comparison of different European folk music traditions using self-organizing maps

Bibliographic Data

ID7857577
AuthorsZoltán Juhász (0000-0002-8761-2389, Institute for Technical Physics and Materials Science, corresponding author)
Year2006
Volume35
Issue2
Pages95-112
Publication date2006-06-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of New Music Research (JOURNAL)
Journal identifiersISSN: 0929-8215 • E-ISSN: 1744-5027
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/09298210600834912
OpenAlexW2092040329
LanguageEN
Citations received7
References cited12

The relations of six European musical cultures were investigated using self-organizing mapping of the melody contours. The high number of contour types characterizing more than 2 cultures simultaneously led to the supposition of a hypothetical common musical language, and the corresponding contour types were determined using a self-organizing map, being able to “understand” the six cultures in parallel. The analysis showed that significant parts of the common language are represented in the six national cultures, and it exists practically completely in Hungarian and Slovak folk music. The mapping of the melody sections and the contour types of the common language to a multidimensional “melody space” resulted in a clear musical description of the contacts, thus, the hypothesis of an archaic common musical tradition in Europe seems to be worth considering

Art · Cartography · Contour line · Folk music · Geography · Linguistics · Literature · Music theory · Musical · Natural language processing · Slovak · Computer Science · Diverse Musicological Studies · Music and Audio Processing · Music Technology and Sound Studies · Philosophy

  • A review of manual and computational approaches for the study of world music corpora

    Maria Panteli, E Benetos et al.•Journal of New Music Research•2018

  • A Search for Structural Similarities of Oral Musical Traditions in Eurasia and America Using the Self Organizing Cloud Algorithm

    Zoltán Juhász•Journal of New Music Research•2015

  • Interrogating Melodic Similarity

    Anna Marsden, Alan Marsden•Journal of New Music Research•2012

  • Automatic Segmentation and Comparative Study of Motives in Eleven Folk Song Collections using Self-Organizing Maps and Multidimensional Mapping

    Zoltán Juhász•Journal of New Music Research•2009

  • Finding Occurrences of Melodic Segments in Folk Songs Employing Symbolic Similarity Measures

    Open Access•Berit Janssen, P van Kranenburg et al.•Journal of New Music Research•2017

  • Comparative Pattern Analysis of Cretan Folk Songs

    Darrell Conklin, Christina Anagnostopoulou•Journal of New Music Research•2011

  • Ethnoecology - The best medicine against allergy

    Open Access•Zsolt Molnár•Journal of Ethnobiology and…•2015

  • Segmentation of Hungarian Folk Songs Using an Entropy-Based Learning System

    Zolt N Juh Sz, Zolt�n Juh�sz•Journal of New Music Research•2004

  • Memory-Based Models of Melodic Analysis

    Rens Bod•Journal of New Music Research•2002

  • Optimizing auditory images and distance metrics for self-organizing timbre maps

    Petri Toiviainen•Journal of New Music Research•1996

  • Sonological models for timbre characterization

    Giovanni De Poli, Paolo Prandoni•Journal of New Music Research•1997

  • The Structure of an Oral Tradition ? Mapping of Hungarian Folk Music to a Metric Space

    Zolt N Juh Sz, Zolt�n Juh�sz•Journal of New Music Research•2002

Unique citing works7
Citations per year0,41
Citation span2009 - 2018 (10)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 7

Tools

Open DOISci-Hub
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae