This is a widely reported study so part of it is posted here...
Measuring the Evolution of Contemporary Western Popular Music
Popular music is a key cultural expression that has captured listeners' attention for ages.
Introduction
Isn't it always the same? This question could be easily posed while listening to the music of any mainstream radio station in a western country. Like language, music is a human universal involving perceptually discrete elements displaying organization1.
Therefore, contemporary popular music may have a well-established set of underlying patterns and regularities1, 2, 3, 4, some of them potentially inherited from the classical tradition5, 6, 7.
Yet, as an incomparable artistic product for conveying emotions8, music must incorporate variation over such patterns in order to play upon people's memories and expectations, making it attractive to listeners3, 4, 5.
For the very same reasons, long-term variations of the underlying patterns may also occur across years9.
Many of these aspects remain formally unknown or lack scientific evidence, specially the latter, which is very often neglected in music-related studies, from musicological analyses to technological applications.
The study of patterns and long-term variations in popular music could shed new light on relevant issues concerning its organization, structure, and dynamics10.
More importantly, it addresses valuable questions for the basic understanding of music as one of the main expressions of contemporary culture:
Can we identify some of the patterns behind music creation?
Do musicians change them over the years?
Can we spot differences between new and old music?
Is there an ‘evolution’ of musical discourse?
Current technologies for music information processing11, 12 provide a unique opportunity to answer the above questions under objective, empirical, and quantitative premises.
Moreover, akin to recent advances in other cultural assets13, they allow for unprecedented large-scale analyses.
One of the first publicly-available large-scale collections that has been analyzed by standard music processing technologies is the million song dataset14.
Among others, the dataset includes the year annotations and audio descriptions of 464,411 distinct music recordings (from 1955 to 2010), which roughly corresponds to more than 1,200 days of continuous listening.
Such recordings span a variety of popular genres, including rock, pop, hip hop, metal, or electronic. Explicit descriptions available in the dataset15 cover three primary and complementary musical facets2: loudness, pitch, and timbre. Loudness basically correlates with our perception of sound amplitude or volume (notice that we refer to the intrinsic loudness of a recording, not the loudness a listener could manipulate).
Pitch roughly corresponds to the harmonic content of the piece, including its chords, melody, and tonal arrangements.
Timbre accounts for the sound color, texture, or tone quality, and can be essentially associated with instrument types, recording techniques, and some expressive performance resources.
These three music descriptions can be obtained at the temporal resolution of the beat, which is perhaps the most relevant temporal unit in music, specially in western popular music2, 4.
Here we study the music evolution under the aforementioned premises.....
Read More:
Measuring the Evolution of Contemporary Western Popular Music : Scientific Reports : Nature Publishing Group
LINK:
http://www.nature.com/srep/2012/120726/srep00521/full/srep00521.html
No comments:
Post a Comment