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Interpolation is prevalent in many genres of popular music; early examples are the Beatles interpolating "La Marseillaise" and "She Loves You", among three other interpolations in the 1967 song "All You Need Is Love", [3] and Lyn Collins interpolating lyrics from the 5 Royales' "Think" in her similarly titled 1972 song "Think (About It)".
For music of the Classical period, "interpolation" is defined in the context of a musical sentence or period as "unrelated material inserted between two logically succeeding functions". [1] This device is commonly used to extend what would normally be a regular phrase into an irregular and extended phrase.
This list is of songs that have been interpolated by other songs. Songs that are cover versions, parodies, or use samples of other songs are not "interpolations". The list is organized under the name of the artist whose song is interpolated followed by the title of the song, and then the interpolating artist and their song.
Interpolation (popular music) List of interpolated songs; C. Interpolation (classical music) W. WhoSampled This page was last edited on 31 January 2019, at 03:29 (UTC ...
Sampling has influenced many genres of music, [5] particularly pop, hip hop and electronic music. [14] The Guardian journalist David McNamee likened its importance in these genres to the importance of the guitar in rock. [5] In August 2022, the Guardian noted that half of the singles in the UK Top 10 that week used samples. [22]
Audio inpainting (also known as audio interpolation) is an audio restoration task which deals with the reconstruction of missing or corrupted portions of a digital audio signal. [1] Inpainting techniques are employed when parts of the audio have been lost due to various factors such as transmission errors, data corruption or errors during ...
In music and musical form, contrast is the difference between parts or different instrument sounds. The three types of contrast are rhythmic contrast, melodic contrast, and harmonic contrast. [1] Procedures of contrast include stratification, juxtaposition, and interpolation.
Multivariate interpolation is the interpolation of functions of more than one variable. Methods include nearest-neighbor interpolation, bilinear interpolation and bicubic interpolation in two dimensions, and trilinear interpolation in three dimensions. They can be applied to gridded or scattered data.