Kobaïan and Non-lexical vocables in music

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Kobaïan and Non-lexical vocables in music

Kobaïan vs. Non-lexical vocables in music

Kobaïan is a lyrical language created by French drummer and composer Christian Vander for his progressive rock band Magma. Non-lexical vocables, which may be mixed with meaningful text, are a form of nonsense syllable used in a wide variety of music.

Similarities between Kobaïan and Non-lexical vocables in music

Kobaïan and Non-lexical vocables in music have 3 things in common (in Unionpedia): Magma (band), Scat singing, Yodeling.

Magma (band)

Magma are a French progressive rock band founded in Paris in 1969 by classically trained drummer Christian Vander, who claimed as his inspiration a "vision of humanity's spiritual and ecological future" that profoundly disturbed him.

Kobaïan and Magma (band) · Magma (band) and Non-lexical vocables in music · See more »

Scat singing

In vocal jazz, scat singing is vocal improvisation with wordless vocables, nonsense syllables or without words at all.

Kobaïan and Scat singing · Non-lexical vocables in music and Scat singing · See more »

Yodeling

Yodeling (also jodeling) is a form of singing which involves repeated and rapid changes of pitch between the low-pitch chest register (or "chest voice") and the high-pitch head register or falsetto.

Kobaïan and Yodeling · Non-lexical vocables in music and Yodeling · See more »

The list above answers the following questions

What Kobaïan and Non-lexical vocables in music have in common
What are the similarities between Kobaïan and Non-lexical vocables in music

Kobaïan and Non-lexical vocables in music Comparison

Kobaïan has 37 relations, while Non-lexical vocables in music has 145. As they have in common 3, the Jaccard index is 1.65% = 3 / (37 + 145).

References

This article shows the relationship between Kobaïan and Non-lexical vocables in music. To access each article from which the information was extracted, please visit:

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