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Music Corpus Analysis Using Unwords

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Mathematics and Computation in Music (MCM 2019)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11502))

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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.

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Acknowledgments

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

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Authors and Affiliations

  1. Department of Computer Science and Artificial Intelligence, University of the Basque Country UPV/EHU, San Sebastian, Spain

    Darrell Conklin

  2. IKERBASQUE, Basque Foundation for Science, Bilbao, Spain

    Darrell Conklin

Authors
  1. Darrell Conklin
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Correspondence to Darrell Conklin .

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Editors and Affiliations

  1. Georgia State University, Atlanta, GA, USA

    Mariana Montiel

  2. Technical University of Madrid, Madrid, Spain

    Francisco Gomez-Martin

  3. Technological University of the Mixteca, Oaxaca, Mexico

    Octavio A. Agustín-Aquino

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Conklin, D. (2019). Music Corpus Analysis Using Unwords. In: Montiel, M., Gomez-Martin, F., Agustín-Aquino, O.A. (eds) Mathematics and Computation in Music. MCM 2019. Lecture Notes in Computer Science(), vol 11502. Springer, Cham. https://doi.org/10.1007/978-3-030-21392-3_28

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  • DOI: https://doi.org/10.1007/978-3-030-21392-3_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21391-6

  • Online ISBN: 978-3-030-21392-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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