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First evolutionary history of 50 years of music charts using big data analysis of sounds

Date:
May 6, 2015
Source:
Queen Mary, University of London
Summary:
Evolutionary biologists and computer scientists have come together study the evolution of pop music. Their analysis of 17,000 songs from the US Billboard Hot 100 charts, 1960 to 2010, is the most substantial scientific study of the history of popular music to date.
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D.J. (stock image) The researchers system automatically grouped the thousands of songs by patterns of chord changes and tone allowing researchers to statistically identify trends with an unprecedented degree of consistency.
Credit: © sad / Fotolia

The researchers studied trends in style, the diversity of the charts, and the timing of musical revolutions. They find that, contrary to popular belief, the so-called "British Invasion" of US pop music by groups such as The Beatles and The Rolling Stones, did not start a rock revolution, but only followed existing trends. The greatest musical revolution in US pop history was also not 1964, but 1991when hip-hop arrived in the charts.

The study found that 1986 was the least diverse year for the charts, a fact the researchers attribute to the sudden popularization of drum machines and samplers at the time. Diversity recovered after that, and while it was declining again by 2010 the scientists reject pessimistic views of chart diversity: there is no evidence for a general trend towards homogenization in the charts.

The researchers from Queen Mary University of London and Imperial College London, with help from music website Last.fm, used cutting edge methods from signal processing and text-mining to analyze the musical properties of songs. Their system automatically grouped the thousands of songs by patterns of chord changes and tone allowing researchers to statistically identify trends with an unprecedented degree of consistency.

Matthias Mauch, from the School of Electronic Engineering and Computer Science at QMUL, lead author of the paper, said: "For the first time we can measure musical properties in recordings on a large scale. We can actually go beyond what music experts tell us, or what we know ourselves about them, by looking directly into the songs, measuring their makeup, and understanding how they have changed.

"No doubt some will disagree with our scientific approach and think it's too limited for such an emotional subject but I think we can add to the wonder of music by learning more about it. We want to analyze more music from more periods in more countries and build a comprehensive picture of how music evolves."

Professor Armand Leroi of Imperial College, senior author on the paper, said: "It's exciting to be able to study the evolution of popular music scientifically. But now we want to go further, and find out not just how the music has changed, but why."


Story Source:

Materials provided by Queen Mary, University of London. Note: Content may be edited for style and length.


Journal Reference:

  1. Matthias Mauch, Robert M. Maccallum, Mark Levy, Armand M. Leroi. The evolution of popular music: USA 1960–2010. Royal Society Open Science, May 2015 DOI: 10.1098/rsos.150081

Cite This Page:

Queen Mary, University of London. "First evolutionary history of 50 years of music charts using big data analysis of sounds." ScienceDaily. ScienceDaily, 6 May 2015. <www.sciencedaily.com/releases/2015/05/150506084811.htm>.
Queen Mary, University of London. (2015, May 6). First evolutionary history of 50 years of music charts using big data analysis of sounds. ScienceDaily. Retrieved May 26, 2017 from www.sciencedaily.com/releases/2015/05/150506084811.htm
Queen Mary, University of London. "First evolutionary history of 50 years of music charts using big data analysis of sounds." ScienceDaily. www.sciencedaily.com/releases/2015/05/150506084811.htm (accessed May 26, 2017).

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