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Utilizing Computer Programming to Analyze Post-Tonal Music: Contour Analysis of Four Works for Solo Flute

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Mathematics and Computation in Music (MCM 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9110))

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Abstract

A computer application was written to complete the task of contour reduction. The application was used to complete analyses of twentieth-century post-tonal works for solo flute. The methodology of Rob Schultz’s Contour Reduction Algorithm was chosen for implementation. While contour reduction is a useful analytical tool, it is a meticulous and time-consuming process. Computer implementation of this procedure produces quick and accurate results while reducing analyst fatigue and human error. Java computer programming language is used to create a contour reduction application. This implementation greatly reduces the time needed to analyze a melody. Computer programming is combined with music analysis to produce informed and expressive musical interpretations.

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Notes

  1. 1.

    For a complete discussion on the history of contour analysis, see [1].

  2. 2.

    Version 1.0 www.link.cs.cmu.edu/music-analysis/ Version 2.0 http://theory.esm.rochester.edu/temperley/melisma2/.

  3. 3.

    http://www.rubato.org/.

  4. 4.

    http://www.hud.ac.uk/tonalities/.

  5. 5.

    http://camil.music.illinois.edu/software/harmonia/.

  6. 6.

    http://web.mit.edu/music21/.

  7. 7.

    http://visimus.com.

  8. 8.

    For a complete discussion of pitch-class sets, see [9].

  9. 9.

    For a complete discussion of the form of Mei, see [1].

  10. 10.

    It is worth noting that of the possible LCPs, these analyses contain predominantly LCPs \(<\)0 1\(>\), \(<\)0 2 1\(>\), \(<\)1 0 3 2\(>\), and \(<\)1 3 0 2\(>\). The nature of these LCPs only allows for one transformation, generally the retrograde, to be created from the prime. The exception is LCP \(<\)0 2 1\(>\), for which a prime, retrograde, inversion, and retrograde inversion can exist.

  11. 11.

    Change in predominant diachronic LCP demarcates formal divisions of the work. For space limitations, the discussion of form is limited here. See [1].

  12. 12.

    Segmentation of this work refers to the segmentation process developed by James Tenney and Larry Polansky, see [14].

  13. 13.

    For a complete discussion of the form of Itinerant, see [1].

  14. 14.

    Roger Graybill uses the term “gesture” to describe a grouping structure with a distinguishing internal dynamic shape [16].

  15. 15.

    For the complete analytical discussion of Air, see [1].

References

  1. Sekula, K.: Utilizing computer programming to analyze post-tonal music: a segmentation and contour analysis of twentieth-century works for solo flute. Ph.D. dissertation. University of Connecticut, Storrs, CT (2014)

    Google Scholar 

  2. Morris, R.: New directions in the theory and analysis of musical contour. Music Theor. Spectr. 15(2), 205–228 (1993)

    Article  Google Scholar 

  3. Schultz, R.D.: A diachronic-transformational theory of musical contour relations. Ph.D. dissertation. University of Washington, Seattle, WA (2009)

    Google Scholar 

  4. Schüler, N.: Methods of computer-assisted analysis: history, classification, and evaluation. Ph.D. dissertation. Michigan State University, East Lansing, MI (2000)

    Google Scholar 

  5. Cope, D.: Hidden Structure: Music Analysis Using Computers. AR Editions, Madison (2008)

    Google Scholar 

  6. Sampaio, M.S., Kröger, P.: Goiaba: a software to process musical contours. In: Proceedings of the 12th Brazilian Symposium on Computer Music, pp. 203–206 (2009)

    Google Scholar 

  7. Friedmann, M.L.: A methodology for the discussion of contour: its application to schoenberg’s music. J. Music Theor. 29(2), 223–248 (1985)

    Article  Google Scholar 

  8. Marvin, E.W., Laprade, P.A.: Relating musical contours: extensions of a theory for contour. J. Music Theor. 31(2), 225–267 (1987)

    Article  Google Scholar 

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

    Google Scholar 

  10. Young, R.W.: Terminology for logarithmic frequency units. J. Acoust. Soc. Am. 11(1), 134–139 (1939)

    Article  Google Scholar 

  11. Morris, R.: Composition with Pitch-Classes: A Theory of Compositional Design. Yale University Press, New Haven (1987)

    Google Scholar 

  12. Schultz, R.D.: Melodic contour and nonretrogradable structure in the birdsong of Olivier Messiaen. Music Theor. Spectr. 30(1), 89–137 (2008)

    Article  Google Scholar 

  13. Lee, C.-L.: Analysis and interpretation of Kazuo Fukushima’s solo flute music. Ph.D. dissertation. University of Washington, Seattle, WA (2010)

    Google Scholar 

  14. Tenney, J., Polansky, L.: Temporal gestalt perception in music. J. Music Theor. 24(2), 205–241 (1980)

    Article  Google Scholar 

  15. Burt, P.: The Music of Tōru Takemitsu. Cambridge University Press, Cambridge (2006)

    Google Scholar 

  16. Graybill, R.: Prolongation, gesture and musical motion. In: Raphael, A., Michael, C. (eds.) Eleven Essays in Honor of Davis Lewin, Musical Transformation and Musical Intuition, pp. 199–224. Ovenbird Press, Dedham (1994)

    Google Scholar 

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Sekula, K. (2015). Utilizing Computer Programming to Analyze Post-Tonal Music: Contour Analysis of Four Works for Solo Flute. In: Collins, T., Meredith, D., Volk, A. (eds) Mathematics and Computation in Music. MCM 2015. Lecture Notes in Computer Science(), vol 9110. Springer, Cham. https://doi.org/10.1007/978-3-319-20603-5_23

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  • DOI: https://doi.org/10.1007/978-3-319-20603-5_23

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