‘We can actually go beyond what music experts tell us’
So claim the boffins at the School of Electronic Engineering and Computer Science at QMUL, before dropping the BOMB of hypertechsuperdata analysis that… the musical revolution in 1960s America was already happening BEFORE the Beatles and Rolling Stones arrived in the US.
Wows. Such researches. So clickbait.
Somebody please send them a Happy Days boxset please. We’d kinda figured the Fats Waller thing out already.
- 1986 was the least diverse year in the charts
- The musical revolution said to have been driven by The Beatles and The Rolling Stones was already underway before they arrived in the US.
- The rise of hip-hop caused the single most radical change in the US charts
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 1991 when hip-hop arrived in the charts.
[Video shows Run DMC/Aerosmith’s track ‘Walk this Way’, which brought hip hop to #4 in the US singles chart, and #8 in the UK singles chart in… 1986. Significantly earlier than the Queen Mary researchers claim. But hey, what would we ‘music experts’ know anyway? – Ed.]
The study found that 1986 was the least diverse year for the charts, a fact the researchers attribute to the sudden popularisation 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 homogenisation 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 analyse 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 analyse 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.”