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