The other day, Paul Simon was rehearsing a favorite song: his own “Darling Lorraine,” about a love that starts hot but turns very cold. He found himself thinking about a three-note rhythmic pattern near the end, where Lorraine (spoiler alert) gets sick and dies.
“The song has that triplet going on underneath that pushes it along, and at a certain point I wanted it to stop because the story suddenly turns very serious,” Mr. Simon said in an interview.
“The stopping of sounds and rhythms,” he added, “it’s really important, because, you know, how can I miss you unless you’re gone? If you just keep the thing going like a loop, eventually it loses its power.”
An insight like this may seem purely subjective, far removed from anything a scientist could measure. But now some scientists are aiming to do just that, trying to understand and quantify what makes music expressive — what specific aspects make one version of, say, a Beethoven sonata convey more emotion than another.
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