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Journal of New Music Research Volume 35, 2006 - Issue 2
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Original Articles

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

Zoltán Juhász Research Institute for Technical Physics and Materials Science, HungaryCorrespondence[email protected]
Pages 95-112 | Published online: 16 Feb 2007

Citations (16)

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Read on this site (7)

Maria Panteli, Emmanouil Benetos & Simon Dixon. (2018) A review of manual and computational approaches for the study of world music corpora. Journal of New Music Research 47:2, pages 176-189.
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Berit Janssen, Peter van Kranenburg & Anja Volk. (2017) Finding Occurrences of Melodic Segments in Folk Songs Employing Symbolic Similarity Measures. Journal of New Music Research 46:2, pages 118-134.
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Zoltán Juhász. (2015) A Search for Structural Similarities of Oral Musical Traditions in Eurasia and America Using the Self Organizing Cloud Algorithm. Journal of New Music Research 44:3, pages 196-218.
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Alan Marsden. (2012) Interrogating Melodic Similarity: A Definitive Phenomenon or the Product of Interpretation?. Journal of New Music Research 41:4, pages 323-335.
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Anja Volk & Aline Honingh. (2012) Mathematical and computational approaches to music: challenges in an interdisciplinary enterprise. Journal of Mathematics and Music 6:2, pages 73-81.
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Darrell Conklin & Christina Anagnostopoulou. (2011) Comparative Pattern Analysis of Cretan Folk Songs. Journal of New Music Research 40:2, pages 119-125.
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Zoltán Juhász. (2009) Automatic Segmentation and Comparative Study of Motives in Eleven Folk Song Collections using Self-Organizing Maps and Multidimensional Mapping. Journal of New Music Research 38:1, pages 71-85.
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Articles from other publishers (9)

Kerstin Neubarth & Darrell Conklin. (2019) Identification and Description of Outliers in the Densmore Collection of Native American Music. Applied Sciences 9:3, pages 552.
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Jukka Louhivuori. 2018. Springer Handbook of Systematic Musicology. Springer Handbook of Systematic Musicology 939 952 .
Débora C. Corrêa & Francisco Ap. Rodrigues. (2016) A survey on symbolic data-based music genre classification. Expert Systems with Applications 60, pages 190-210.
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Kerstin Neubarth & Darrell Conklin. 2016. Computational Music Analysis. Computational Music Analysis 393 424 .
Zsolt Molnár. (2015) Ethnoecology - The best medicine against allergy?. Journal of Ethnobiology and Ethnomedicine 11:1.
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Suisin Khoo, Zhihong Man, Zhenwei Cao & Jinchuan Zheng. (2013) German vs. Austrian folk song classification. German vs. Austrian folk song classification.
Horolma Pamjav, Zoltán Juhász, Andrea Zalán, Endre Németh & Bayarlkhagva Damdin. (2012) A comparative phylogenetic study of genetics and folk music. Molecular Genetics and Genomics 287:4, pages 337-349.
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Olmo Cornelis, Micheline Lesaffre, Dirk Moelants & Marc Leman. (2010) Access to ethnic music: Advances and perspectives in content-based music information retrieval. Signal Processing 90:4, pages 1008-1031.
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Mohamed M. Mostafa & Nedret Billor. (2009) Recognition of Western style musical genres using machine learning techniques. Expert Systems with Applications 36:8, pages 11378-11389.
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