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Music Corpus Analysis Using Unwords

  • Darrell ConklinEmail author
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11502)

Abstract

Discovering patterns reoccurring within a collection of pieces is a fundamental type of music corpus analysis. The inverted task is to discover patterns that are surprisingly infrequent in a corpus, including completely absent patterns or unwords. The key issue in mining unwords is evaluating whether a specific pattern is merely statistically absent from the corpus, or is prohibited in the style exemplified by the corpus. This paper describes a statistical method for evaluating unwords and applies it to reveal interesting unwords for counterpoint and chord sequences.

Keywords

Unwords Music analysis Statistics Pattern discovery 

Notes

Acknowledgments

Special thanks to Kerstin Neubarth for valuable comments on the manuscript.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Department of Computer Science and Artificial IntelligenceUniversity of the Basque Country UPV/EHUSan SebastianSpain
  2. 2.IKERBASQUE, Basque Foundation for ScienceBilbaoSpain

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