Researchers Create Beatles Algorithm

Bobby & Stacey talked to Professor Lior Shamir at Lawrence Technological University in Southfield where researchers have developed an algorithm that analyzes songs from all 13 of the albums The Beatles released in England.

The program sorts out similarities among them based on sound frequencies and patterns. Once it determined how closely related each song was, the algorithm ranked the albums chronologically.

Professor Lior Shamir says, “People who are not Beatles fans normally can’t tell that Help was recorded before Rubber Soul, but the algorithm can. This experiment demonstrates that artificial intelligence can identify the changes and progression in musical styles by ‘listening’ to popular music albums in a completely new way.” The researchers also did similar studies on the music of U2, Queen, and Taylor Swift – though the computer couldn’t tell the difference between any of her songs.

Hear the interview:

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