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Distributional Analysis of n-Dimensional Feature Space for 7-Note Scales in 22-TET

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Mathematics and Computation in Music (MCM 2019)

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Abstract

Many scale features have been defined in an effort to account for the ubiquity of the diatonic scale in tonal music. In 12-TET, their relative influences have been difficult to disentangle. In 22-TET however, the features are spread differently across different scales. We sought here to to establish a set of 7-note scales in 22-TET that represent the major clusters within the whole population of scales. We first calculate numerous features of every 7-note scale in 22-TET that may relate to their perception in harmonic tonality. This feature space is then reduced by the step-by-step removal of features which may be most completely expressed as linear combinations of the others. A k-medoids cluster analysis leads finally to the selection of 11 exemplar scales, including approximations of four different tunings of the diatonic scale in just intonation.

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Correspondence to Gareth M. Hearne .

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Hearne, G.M., Milne, A.J., Dean, R.T. (2019). Distributional Analysis of n-Dimensional Feature Space for 7-Note Scales in 22-TET. 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_16

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  • DOI: https://doi.org/10.1007/978-3-030-21392-3_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-21391-6

  • Online ISBN: 978-3-030-21392-3

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