Detection of Musical Borrowing Using Data Science

Author:

Walczak Steven1,Moore‐Pizon Thomas E.2

Affiliation:

1. University of South Florida USA

2. Keiser University USA

Abstract

ABSTRACTData science may be used to determine similarities between musical scores. Programs are written in C++ to capture note progressions from musical scores and to compare progressions from different songs to identify overlapping areas. These tools enable the study of musical borrowing across musical genres and may assist in copyright violation cases. Results indicate that within the Celtic music genre, borrowing occurs across greater than 10% of the songs.

Publisher

Wiley

Subject

Library and Information Sciences,General Computer Science

Reference11 articles.

1. From J.C. Bach to Hip Hop: Musical Borrowing, Copyright and Cultural Context, 84;Arewa O. B.;North Carolina Law Review,2006

2. Copyright Law's Musical Work

3. The Uses of Existing Music: Musical Borrowing as a Field

4. Musical Borrowing or Curious Coincidence?

5. Automatic Note Recognition and Generation of MDL and MML using FFT

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