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Software Program Designed to Spot Musical Hits
LONDON (Reuters) - Picking the next worldwide hit song could soon be as easy as running a software program. Hit Song Science (HSS), software developed by Barcelona-based company Polyphonic HMI, is designed to spot the hits before they are released.
The company says it picked out Norah Jones (news) for stardom months before her debut album garnered eight Grammy awards.
"The HSS software looks for songs that match the musical traits of known hits," according to New Scientist magazine.
It identifies characteristics such as melody, harmony, beat variation, tempo, rhythm and pitch that send songs to the top of the charts.
Although there are millions of songs on the market, the biggest sellers are found in clusters with similar characteristics.
But those special traits are not always obvious. Irish rock group U2 and Beethoven had similar values according to the software. The Beatles and Elvis also matched up with their distinctive traits.
"There are a limited number of mathematical formulas for hit songs," said Polyphonic HMI's chief executive Mike McCready.
"We don't know why," he added.
Several major record companies are trying out the software to increase their chances of putting their money on a winner.
Thank you, Josh!
Software Program Designed to Spot Musical Hits
LONDON (Reuters) - Picking the next worldwide hit song could soon be as easy as running a software program. Hit Song Science (HSS), software developed by Barcelona-based company Polyphonic HMI, is designed to spot the hits before they are released.
The company says it picked out Norah Jones (news) for stardom months before her debut album garnered eight Grammy awards.
"The HSS software looks for songs that match the musical traits of known hits," according to New Scientist magazine.
It identifies characteristics such as melody, harmony, beat variation, tempo, rhythm and pitch that send songs to the top of the charts.
Although there are millions of songs on the market, the biggest sellers are found in clusters with similar characteristics.
But those special traits are not always obvious. Irish rock group U2 and Beethoven had similar values according to the software. The Beatles and Elvis also matched up with their distinctive traits.
"There are a limited number of mathematical formulas for hit songs," said Polyphonic HMI's chief executive Mike McCready.
"We don't know why," he added.
Several major record companies are trying out the software to increase their chances of putting their money on a winner.
Thank you, Josh!