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Non-spectral Transposition-Invariant Information in Pitch-Class Sets and Distributions

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Mathematics and Computation in Music (MCM 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13267))

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Abstract

The spectral information of a pitch-class set or distribution relates to its interval content and what Ian Quinn calls its harmonic qualities, the magnitudes of a discrete Fourier transform of a pitch-class vector. The spectrum is invariant with respect to transposition and inversion, but the existence of Z-related sets, which have equivalent spectra but are not related by transposition or inversion, means that the spectrum is not a complete description of a set class. We show how to isolate transposition-invariant phase information using products of Fourier coefficients. We describe some of the mathematical features of these coefficient products and show how they encode aspects of tonality, and can be useful for analyzing non-tonal music with an example from Takemitsu’s “Air” for solo flute.

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Notes

  1. 1.

    For 80% of pc-sets, the error is larger than 10%.

  2. 2.

    Not necessarily distinct.

  3. 3.

    The qualification “regular” distinguishes these from an arbitrary product, but since non-regular products are of no evident interest, we will typically omit the qualifier.

  4. 4.

    For example, \(\hat{a}_5 \hat{a}_5 \hat{a}_2\) or \(\hat{a}_4 \hat{a}_4 \hat{a}_4\). These are also regular coefficient products and can have interesting applications, but we focus instead on products of three unique coefficients here.

  5. 5.

    A complication here is that there are two contributors to \(\hat{a}_2\) in the quadratic term, \(\hat{a}_3\hat{a}_7\) and \(\hat{a}_5\hat{a}_5\), and the latter is larger in the distribution derived using the clipping filter. In the original distribution, the phase of \(\hat{a}_2\) is closer to that of \(\hat{a}_3\hat{a}_7\) than \(\hat{a}_5\hat{a}_5\).

References

  1. Albrecht, J., Shanahan, D.: The use of large corpora to train a new type of key-finding algorithm. Music Percept. 31, 59–67 (2013)

    Article  Google Scholar 

  2. Amiot, E.: The torii of phases. In: Yust, J., Wild, J., Burgoyne, J.A. (eds.) MCM 2013. LNCS (LNAI), vol. 7937, pp. 1–18. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-39357-0_1

    Chapter  Google Scholar 

  3. Amiot, E.: Music in Fourier Space. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-45581-5

    Book  Google Scholar 

  4. Capuzzo, G.: Lewin’s Q operations in Carter’s Scrivo in Vento. Theory Pract. 27, 85–98 (2002)

    Google Scholar 

  5. Childs, A. P.: Structural and transformational properties of all-interval tetrachords. Music Theory Online 12(4) (2006)

    Google Scholar 

  6. Forte, A.: A theory of set-complexes for music. J. Music Theory 8(2), 136–183 (1964)

    Article  Google Scholar 

  7. Forte, A.: The Structure of Atonal Music. Yale University Press, New Haven (1973)

    Google Scholar 

  8. Quinn, I.: General equal-tempered harmony: parts two and three. Perspect. New Music 45(1), 4–63 (2006)

    Article  Google Scholar 

  9. Robinson, T.: Pitch-class multisets. Ph.D Diss., City University of New York (2009)

    Google Scholar 

  10. Tymoczko, D.: A Geometry of Music: Tonality and Counterpoint in the Extended Common Practice. Oxford University Press, Oxford (2011)

    Google Scholar 

  11. Yust, J.: Schubert’s harmonic language and Fourier phase space. J. Music Theory 59(1), 121–81 (2015)

    Article  Google Scholar 

  12. Yust, J.: Harmonic qualities in Debussy’s “Les sons et les parfums tournent dans l’air du soir’’. J. Math. Music 11(2–3), 155–173 (2017)

    Article  Google Scholar 

  13. Yust, J.: A three dimensional model of tonality. Paper Presented to the American Mathematical Society, Athens, GA, 3 May 2016

    Google Scholar 

  14. Yust, J.: Probing questions about keys: tonal distributions through the DFT. In: Agustín-Aquino, O.A., Lluis-Puebla, E., Montiel, M. (eds.) MCM 2017. LNCS (LNAI), vol. 10527, pp. 167–179. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-71827-9_13

    Chapter  Google Scholar 

  15. Yust, J.: Stylistic information in pitch-class distributions. J. New Music Res. 48(3), 217–231 (2019)

    Article  Google Scholar 

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Yust, J., Amiot, E. (2022). Non-spectral Transposition-Invariant Information in Pitch-Class Sets and Distributions. In: Montiel, M., Agustín-Aquino, O.A., Gómez, F., Kastine, J., Lluis-Puebla, E., Milam, B. (eds) Mathematics and Computation in Music. MCM 2022. Lecture Notes in Computer Science(), vol 13267. Springer, Cham. https://doi.org/10.1007/978-3-031-07015-0_23

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  • DOI: https://doi.org/10.1007/978-3-031-07015-0_23

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