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Activity Number: 218795 - 2019 JSM Public Lecture
Type: Invited
Date/Time: Sunday, July 28, 2019 : 6:00 PM to 7:00 PM
Sponsor: ASA
Abstract #307974
Title: Data Tripper: Distinguishing Authorship of Beatles Songs Through Data Science
Author(s): Mark Glickman*
Companies: Harvard University
Keywords:
Abstract:

The songwriting duo of John Lennon and Paul McCartney, the two founding members of the Beatles, have composed some of the most popular and memorable songs of the last century. Despite having authored songs under the joint credit agreement of Lennon-McCartney, it is well-documented that most of their songs or portions of songs were primarily written by exactly one of the two. Some Lennon-McCartney songs, such as "In My Life", are actually of disputed authorship - both Lennon and McCartney individually remembered having written the music. Can data science shed any light on resolving such disputes? This talk explores how statistics can be used to classify musical style, learn features that are distinct to particular songwriters, and ultimately address how to predict who wrote a song of disputed authorship.This talk requires no mathematical or statistical background to attend, and will be accompanied by musical demonstrations.


Authors who are presenting talks have a * after their name.

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