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1984
DOI: 10.1080/0015587x.1984.9716300
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The Problem of Classification in Folksong Research: a Short History

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Cited by 6 publications
(4 citation statements)
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“…A few decades back, classification methods based on the ending notes, number of lines in the song, number of syllables in a line, etc., were adopted in Elschekova (1966), Keller (1984), Bohlman (1988), Umapathy, Krishnan, and Jimaa (2005), Van Kranenburg et al (2007), but not without problems and limitations (Keller, 1984). In recent years, machine learning models have been heavily employed for musical classification, mainly based on the genre.…”
Section: Classification Methods For Identification Of Folk Song and M...mentioning
confidence: 99%
“…A few decades back, classification methods based on the ending notes, number of lines in the song, number of syllables in a line, etc., were adopted in Elschekova (1966), Keller (1984), Bohlman (1988), Umapathy, Krishnan, and Jimaa (2005), Van Kranenburg et al (2007), but not without problems and limitations (Keller, 1984). In recent years, machine learning models have been heavily employed for musical classification, mainly based on the genre.…”
Section: Classification Methods For Identification Of Folk Song and M...mentioning
confidence: 99%
“…What makes the difference, year after year is, however, no random variation. Just like Bela Bartok revealed with his lexicographic and grammatical indexing of Hungarian folk tunes, change occurs more in some sections of the song and less in others (Sorce Keller 1984). Among humpbacks we therefore see an oral tradition unfolding in its transformational, collective and participatory dimensions.…”
Section: Whalesmentioning
confidence: 96%
“…In the 1980s Keller [9] contemplated ... a computer theoretically capable of taking into consideration an unlimited number of parameters and of finding correlations between each and every one of them may be able to detect patterns that would otherwise escape human attention. Such ideas can now begin to be realized with modern pattern discovery techniques.…”
Section: Melodic Patterns In Folk Songsmentioning
confidence: 99%