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Maths helps science predict hit songs
Sunday December 18, 2011 03:59:22 PM,
IANS
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London: Can science
predict which songs are more likely to become hits and chart
busters? The process might not be all that far fetched, thanks to
the latest algorithms.
Tijl De Bie, from the University of Bristol's Intelligent Systems
Lab, said: "Indeed, we have found the hit potential of a song
depends on the era. This may be due to the varying dominant music
style, culture and environment."
De Bie and team looked at the official British top 40 singles
chart over the past 50 years, seeking to distinguish the most
popular (top five) songs from less popular singles (30 to 40),
according to a Bristol statement.
They used musical features, such as tempo, time signature, song
duration and loudness, besides devising a 'hit potential
equation.' It works by looking at all the British hits for a
certain time and measuring their audio features.
From this, researchers derived a list of weights, telling then how
important each of the 23 features was and allowing them to compute
a score for a song.
The team found they could classify a song into a 'hit' or 'not
hit' based on its score, with an accuracy rate of 60 percent as to
whether a song will make it to top five, or if it will never reach
above position 30 on the British top 40 singles chart.
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