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The Impact of Improvisation on Creativity: A Fractal Approach

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Abstract

This is an investigation of musical creativity. Improvisation is a complex system for understanding musical creativity. Improvisation is often expressed through jazz music. This chapter focuses on the measurement of jazz improvisation in order to better understand musical creativity. The science and art of music analysis are discussed. Improvisation can be a measure for musical creativity; however, there are limitations with existing measurement methods. Instead, fractal analysis offers an approach that addresses such limitations. In a case study approach, the work of John Coltrane and his relevant biographical events are discussed along with a fractal analysis examining the sequential structure of pitches in his saxophone solos. Saxophone solos were transcribed from sheet music into a format that represents an absolute pitch numerically. The pitch sequences were examined using power spectral analysis. Results indicate that all 18 Coltrane saxophone solos display sequences of successive pitches that are consistent with anti-persistent fractional Brownian motion having 1/f α power spectra with scaling exponent α between 1.6 and 1.8. Brownian motion is a type of statistical pattern that is symptomatic of self-similar or fractal patterning across time (Mandelbrot 1998). In addition, average mutual information analyses revealed various dominant regular rhythmic patterns in several of the pieces. Eighth-note patterns were dominant in his earlier work, while greater irregularity was present in rhythmic patterns of his later work. Thus, Coltrane’s improvised solos, including his later avant-garde compositions, are comprised of Brownian fractal patterns, which others using a different pitch encoding technique have previously identified in performances of both classical and jazz music (e.g., Boon and Delcroly 1995). These fractal patterns quantify the concepts of order and complexity addressed in the Birkhoff’s Theory of Aesthetic Value. Fractal analysis offers another approach toward understanding the dynamics of improvisation and musical creativity.

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References

  • Abbott, E. A. (1884, 1992). Flatland: A romance of many dimensions. New York: Dover Publications.

    Google Scholar 

  • Aitken, A. E. (1976). A self-instructional audio-imitation method designed to teach trumpet students jazz improvisation in the major mode. Dissertation Abstracts International, University of Oregon.

    Google Scholar 

  • Aitken, P. (2005). Unity and form in Miles Davis’ “Blue in Green”. McMasterMusic Analysis Colloquium, 4, 1–11.

    Google Scholar 

  • Aloupis, G., Fevens, T., Langerman, S., Matsui, T., Mesa, A., Nunez, Y., et al. (2006). Algorithms for computing geometric measures of melodic similarity. Computer Music Journal, 30, 67–76.

    Article  Google Scholar 

  • Alterhaug, B. (2004). Improvisation on a triple theme: Creativity, jazz improvisation and communication. Studia Musicologica Norvegica, 30, 97–118.

    Google Scholar 

  • Aristotle (1882). Aristotle’s psychology (E. Wallace, Trans.). London: Cambridge University Press.

    Google Scholar 

  • Azzara, C. D. (2002). Improvisation. In R. Colwell & C. Richardson (Eds.), The new handbook on research of music teaching and learning (pp. 171–187). New York: Oxford.

    Google Scholar 

  • Azzara, C. D., Grunow, R. F., & Gordon, E. E. (1997). Creativity in improvisation. Chicago, IL: GIA.

    Google Scholar 

  • Bair, J. (2003). Cyclic patterns in John Coltrane’s melodic vocabulary as influenced by Nicolas Slonimsky’s “Thesaurus of scales and melodic patterns”: An analysis of selected improvisations. University of North Texas.

    Google Scholar 

  • Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  • Birkhoff, G. D. (1933). Aesthetic measure. Cambridge, Massachusetts: Harvard University Press.

    Book  MATH  Google Scholar 

  • Boon, J. P., & Delcroly, O. (1995). Dynamical systems theory for music dynamics. Chaos, 5, 501–508.

    Article  Google Scholar 

  • Brown, R. (1827). A brief account of microscopical observations Made in the Months of June, July and August, 1827, on the particles contained in the pollen of plants; and on the general existence of active molecules in organic and inorganic bodies. London: Cambridge University Press.

    Google Scholar 

  • Burnsed, C. V., & Price, H. E. (1984). Improvisation and Evaluation. Research Proceedings of the National Association of Jazz Educators, 6, 35–42.

    Google Scholar 

  • Cartwright, J. H. E., Gonzalez, D. L., & Piro, O. (1999). Nonlinear dynamics of the perceived pitch of complex sounds. Physical Review Letters, 82, 5389–5392.

    Article  Google Scholar 

  • Chacon, R., Batres, Y., & Cuadros, F. (1992). Teaching deterministic chaos through music. Physics Education, 27, 151–154.

    Article  Google Scholar 

  • Charyton, C., Holden, J. G., Jagacinski, R. J., & Elliott, J. O. (2012). A historical and fractal perspective on the life and saxophone solos of John Coltrane. Jazz Perspectives, 6(3), 311–335. doi:10.1080/17494060.2013.806031.

    Article  Google Scholar 

  • Cheshire, N. (1996). The empire of the ear: Freud’s problem with music. International Journal of Psychoanalysis, 77, 1127–1168.

    Google Scholar 

  • Coan, C., Coltrane, R., & Schiff, R. (1995). John Coltrane’s Solos. Milwaukee, WI: Hal Leonard Publications.

    Google Scholar 

  • Coltrane, J. (1959, 2007a). “Giant Steps,” Giant Steps, Rhino/Atlantic.

    Google Scholar 

  • Coltrane, J. (1959, 2007b) “Countdown,” Giant Steps, Rhino/Atlantic Records.

    Google Scholar 

  • Coltrane, J., (1959, 2008). “Some Other Blues,” Coltrane Jazz, Rhino/Atlantic.

    Google Scholar 

  • Coltrane, J. (1960, 1999). “26-2,” Coltrane’s Sound, Atlantic Records.

    Google Scholar 

  • Coltrane, J. (1960, 1990). “My Favorite Things,” My Favorite Things, Atlantic Records.

    Google Scholar 

  • Coltrane, J. (1960, 1999). “Equinox,” Coltrane’s Sound. Atlantic Records.

    Google Scholar 

  • Coltrane, J. (1961, 2008). “Africa,” Africa/Brass. New York, NY: Impulse! Verve/Impulse!

    Google Scholar 

  • Coltrane, J. (1961, 1962). “Olé,” Olé. Warner Jazz/Atlantic Records.

    Google Scholar 

  • Coltrane, J. (1961, 1963, 2008). “Impressions,” Impressions. New York, NY: Impulse!/Universal Distribution.

    Google Scholar 

  • Coltrane, J. (1961, 1998). “Spiritual,” Live at the Village Vanguard. New York, NY: Impulse! Records.

    Google Scholar 

  • Coltrane, J. (1962, 2002). “Tunji,” Coltrane. New York, NY: Impulse! Records.

    Google Scholar 

  • Coltrane, J. (1962, 2008). “Nancy (with the Laughing Face)” Ballads. New York, NY: Impulse! Records.

    Google Scholar 

  • Coltrane, J. (1963, 2008). “Alabama,” Live at Birdland. New York, NY: Impulse! MCAD.

    Google Scholar 

  • Coltrane, J. (1963, 1995). “Lush Life,” John Coltrane and Johnny Hartman. GRP/Impulse!

    Google Scholar 

  • Coltrane, J. (1964, 2002). “A Love Supreme,” A Love Supreme: Deluxe Edition. New York, NY: Impulse! Records.

    Google Scholar 

  • Coltrane, J. (1964, 2003). A Love Supreme. New York, NY: Impulse! Records.

    Google Scholar 

  • Coltrane, J. (1964, 2008). Crescent, New York, NY: Impulse! Records.

    Google Scholar 

  • Coltrane, J. (1965, 1967). “Welcome,” Kulu Sé Mama. New York, NY: Impulse! Records.

    Google Scholar 

  • Coltrane, J. (1966, 2011). “Naima,” Live at the Village Vanguard Again!. New York, NY: Impulse! Records/Universal Distribution.

    Google Scholar 

  • Coltrane, J. (1966, 1991). “Crescent,” Live in Japan. New York, NY: Impulse! Records.

    Google Scholar 

  • Coltrane, J. (1967, 1993). “Expression,” Expression. New York, NY: Impulse! Records.

    Google Scholar 

  • Coltrane, J. (1967, 2000). “Jupiter,” Interstellar Space. New York, NY: Impulse! Records.

    Google Scholar 

  • Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York, NY: Harper Collins.

    Google Scholar 

  • Davidson, P. D. (2010). The role of self-efficacy and modeling in improvisation among intermediate instrumental music students. Journal of Band Research, 45(2), 42–58.

    Google Scholar 

  • Diaz de Chumaceiro, C. L. (1993). Richard Wagner’s Life and Music: What Freud knew. In S. Feder, R. L. Karmel, & G. H. Pollock (Eds.), Psychoanalytic explorations in music: Second series. Madison, CT: International Universities Press Inc.

    Google Scholar 

  • Einstein, A. & Infeld, L. (1938). The evolution of physics: From early concepts to relativity and quanta. New York, NY: A Touchstone Book.

    Google Scholar 

  • Eke, A., Herman, P., Bassingthwaighte, J. B., Raymond, G. M., Percival, D. B., Cannon, M., et al. (2010). Physiological time series: Distinguishing fractal noises from motions. European Journal of Physiology, 439, 403–415. doi:10.1007/s004249900135.

  • Euclid. (1803). By Robert Simson, M. D. The elements of Euclid, the first six books together with the eleventh and twelfth, the errors, by which heon or others, have long ago vitiated these books, are corrected, and some of Euclid’s demonstrations are restored. Also, the book of Euclid’s data in the like manner corrected. Philadelphia: Homas and George Palmer for Conrad and Co.

    Google Scholar 

  • Fourier, J. (1878). The analytical theory of heat. Cambridge: At the University Press.

    Google Scholar 

  • Fraim, J. (1996). Spirit catcher: The life and art of John Coltrane. West Liberty, OH: Great House Co.

    Google Scholar 

  • Fujioka, Y., Porter, L., & Hamada, Y. (Eds.). (1995). John Coltrane: A discography and musical biography. Newark, N.J.: Scarecrow Press.

    Google Scholar 

  • Gabrielsson, A. (2003). Music performance research at the millennium. Psychology of Music, 31(3), 221–272.

    Article  Google Scholar 

  • Gardner, H. (1993). Creating minds: An anatomy of creativity as seen through the lives of Freud, Einstein, Picasso, Stravinsky, Eliot, Graham and Gandhi. New York: NY: Harper Collins Publisher.

    Google Scholar 

  • Gordon, E. (1984). A longitudinal predictive validity study of the Intermediate Measures of Music Audiation. Bulletin of the Council for Research in Music Education, 1–23.

    Google Scholar 

  • Gordon, E. E. (1997). Learning sequences in music: Skill, content, and patterns: A music learning theory. Chicago, IL: GIA Publications Inc.

    Google Scholar 

  • Gordon, E. E. (1998). Harmonic improvisation readiness record and rhythm improvisation readiness record. Chicago, IL: GIA Publications Inc.

    Google Scholar 

  • Gordon, E. E. (2000). Studies in harmonic and rhythm improvisation readiness. Chicago, IL: GIA Publications Inc.

    Google Scholar 

  • Gordon, E. E. (2012). Learning sequences in music: A contemporary music learning theory. Chicago, IL: GIA Publications Inc.

    Google Scholar 

  • Gottlieb, G. (1998). Normally occurring environmental and behavioral influences on gene activity: From central dogma to probabilistic epigenesis. Psychological Review, 105, 792–802.

    Article  Google Scholar 

  • Guilbault, D. M. (2009). The effects of harmonic accompaniment on the tonal improvisations of students in first through sixth grade. Journal of Research in Music Education, 57(2), 81–91.

    Article  Google Scholar 

  • Honerkamp, J. (1994). Stochastic dynamical systems: Concepts, numerical methods, data analysis (K. Linderberg, Trans.). New York: VCH Publishers.

    Google Scholar 

  • Hsu, K. J., & Hsu, A. (1990). Fractal geometry of music (physics of melody). Proceedings of the National Academy of the Sciences, 87, 938–941.

    Article  Google Scholar 

  • Hsu, K. J., & Hsu, A. (1991). Self-similarity of the “1/f noise” called music. Proceedings of the National Academy of the Sciences, 88, 3507–3509.

    Article  Google Scholar 

  • Hughes, J. R., Daaboul, Y., Fino, J. J., & Shaw, G. L. (1998). The “Mozart Effect” on epileptiform activity. Clinical Electroencephalography, 29, 109–119.

    Article  Google Scholar 

  • Jeong, J., Joung, M. K., & Kim, S. Y. (1998). Quantification of emotion by nonlinear analysis of the chaotic dynamics of electroencephalograms during perception of 1/f music. Biological Cybernetics, 78, 217–225.

    Article  MATH  Google Scholar 

  • Johnson-Laird, P. (2002). How jazz musicians improvise. Music Perception, 19(3), 415.

    Article  Google Scholar 

  • Kofsky, F. (1998). John Coltrane and the Jazz Revolution of the 1960’s. Atlanta, GA: Pathfinder.

    Google Scholar 

  • Langer, S. (1951). Philosophy in a new key. London: O.U.P.

    Google Scholar 

  • Little, L. (1976). Improvisation readiness test (pp. 22–23). Dec/Jan: NAJE Education.

    Google Scholar 

  • Lyuu, Y. D. (2002). Financial engineering and computation: Principles, mathematics, algorithms. New York: Cambridge University Press.

    Google Scholar 

  • Mandelbrot, B. B. (1998). Multifractals and 1/f noise. New York: Springer.

    Google Scholar 

  • Mandlebrot, B. B. (1975). Stochastic models for the Earth’s relief, the shape and the fractal dimension of the coastlines, and the number-area rule for islands. Proceedings of the National Academy of the Sciences, 72 (10), 3825–3828.

    Google Scholar 

  • May, R. (1975). The courage to create. New York: W.W. Norton & Company.

    Google Scholar 

  • May, L. F. (2003). Factors and abilities influencing achievement in instrumental jazz improvisation. Journal of Research in Music Education, 51(3), 245–258.

    Article  Google Scholar 

  • McDaniel, W. T. (1974). Differences in musical achievement, musical experience, and background between jazz-improvising musicians and non improvising musicians at the freshman and sophomore college levels (Doctoral dissertation, University of Iowa, 1974). Dissertation Abstracts International, 35 (12), 7948A.

    Google Scholar 

  • McGlashan, A. R. (1987). Music as a symbolic process. Journal of Analytic Psychology, 32, 327–344.

    Article  Google Scholar 

  • Miller, A. I. (1992). Scientific creativity: A comparative study of Henri Poincare and Albert Einstein. Creativity Research Journal, 5, 385–418.

    Article  Google Scholar 

  • Newton, I. (1720). Universal arithmetick: or, a treatise of arithmetical composition and resolution. To which is added, Dr. Halley’s method of finding the roots of equations arithmetically (Latin by the late Mr. Raphson (Trans.), and Mr. Cunn (revised and corrected)). London: J. Senex, W. Taylor, T. Warner, and J. Osborn.

    Google Scholar 

  • Nisenson, E. (1995). Ascension: John Coltrane and his quest (1st Da Capo Press ed.). New York: Da Capo Press.

    Google Scholar 

  • Peterschmitt, G., Gomez, E. & Herra, P. (2001) Pitch-based solo location. Proceedings of MOSART Workshop on Current Research Directions in Computer Music, Barcelona, Spain, 239–243.

    Google Scholar 

  • Pfenninger, R. C. (1990). The development and validation of three rating scales for the objective measurement of jazz improvisation achievement. Dissertation Abstracts International (Temple University, UMI No. 9100327).

    Google Scholar 

  • Porter, L. (1998). John Coltrane: His life and music. Ann Arbor: University of Michigan Press.

    Google Scholar 

  • Pressing, J. (1994). Novelty, progress and research method in computer music composition. Proceedings of the 1994 International Computer Music Conference-Aarhus, San Francisco, CA: ICMA, 27–30.

    Google Scholar 

  • Ratliff, B. (2007). Coltrane: The story of sound. New York, NY: Farrar, Straus and Giroux.

    Google Scholar 

  • Running, D. J. (2010). Creativity research in music education: A review. Applications of Research in Music Education, 27(1), 41–47.

    Article  Google Scholar 

  • Santa, M. (2003). Nonatonic progressions in the music of John Coltrane. Annual Review of Jazz Studies, 13, 13–25.

    Google Scholar 

  • Schilling, R. (1987). The feasibility of objective diagnostic measurement of jazz improvisation. Research Proceedings of the National, Association of Jazz Educators, 7, 101–170.

    MathSciNet  Google Scholar 

  • Schroeder, M. (1990). Fractals, chaos, power-laws: Minutes from an infinite universe. New York: W. H. Freeman and Company.

    Google Scholar 

  • Schuster, P. (Ed). Stochastic phenomena and chaotic behaviour in complex systems: Proceedings of the fourth meeting of the UNESCSO working group on systems analysis Flarrnitz, Karnten, Australia, June 6–10, 1983. Berlin, Germany: Springer.

    Google Scholar 

  • Sherry, J. L. (2004). Flow and media enjoyment. Communication Theory, 14, 328–347.

    Article  Google Scholar 

  • Shi, Y. (1995). Scalings of pitches in music. Eprint arXiv:adap-org/9509001. Retrieved April 20, 2008, from http://arxiv.org/PS_cache/adap-org/pdf/9509/9509001v1.pdf.

  • Shi, Y. (1996). Correlations of pitches in music. Fractals, 4, 547–553.

    Article  MATH  Google Scholar 

  • Simonton, D. (1984). Genius, creativity, and leadership: Historiometric inquiries. Cambridge, MA: Harvard University Press.

    Book  Google Scholar 

  • Smith, D. T. (2009). Development and validation of a rating scale for wind jazz improvisation performance. Journal of Research in Music Education, 57(3), 217–235.

    Article  Google Scholar 

  • Sternberg, R. J. (1999). Handbook of creativity. New York, NY: Cambridge University Press.

    Google Scholar 

  • Sternberg, R. J. (2001). What is the common thread of creativity: Its dialectical relation to intelligence and wisdom. American Psychologist, 56, 360–362.

    Article  Google Scholar 

  • Voss, R. F., & Clarke, J. (1975). 1/f noise in music and speech. Nature, 258, 317–318.

    Article  Google Scholar 

  • Voss, R. F., & Clarke, J. (1978). 1/f noise in music: Music from 1/f noise. Journal of Acoustical Society of America, 63, 258–263.

    Article  Google Scholar 

  • Wagenmakers, E. J., Farrell, S., & Ratcliff, R. (2004). Estimation and interpretation of 1/f noise in human cognition. Psychonomic Bulletin & Review, 11, 579–615.

    Article  Google Scholar 

  • Webster, P. R. (1990a). Creativity as creative thinking. Music Educators Journal, 76(9), 22.

    Article  Google Scholar 

  • Webster, P. R. (1990b). Creativity as creative thinking: Introduction. Music Educators Journal, 76(9), 21.

    Article  Google Scholar 

  • Webster, P. R. (1994). Time, technology, and the creative process. Arts Education Policy Review, 96(1), 32–36.

    Article  Google Scholar 

  • Webster, P., & Hickey, M. (2001). Creative thinking in music. Music Educators Journal, 88(1), 19–23.

    Article  Google Scholar 

  • Weiskopf, W., & Ricker, R. (1991). Coltrane: A player’s guide to his harmony. New Albany, IN: J. Aebersold.

    Google Scholar 

  • Wesolowski, B. C. (2013). Cognition and the assessment of interaction episodes in Jazz improvisation. Psychomusicology: Music, Mind, and Brain, 23(4), 236–242.

    Article  MathSciNet  Google Scholar 

  • Westervelt, T. G. (2001). An investigation of harmonic and improvisation readiness among upper elementary age children. Dissertation Abstracts International (Temple University, UMI No. 3031569).

    Google Scholar 

  • White, A. N. (1981). Trane n’ me (A semi-autobiography): A treatise on the music of John Coltrane. Washington, D.C.: Andrew Musical Enterprises Inc.

    Google Scholar 

  • White, A. N. (2006). The Andrew white comprehensive catalogue of over 2000 self produced products. September 23, 2005–2006 Edition. Andrew’s Music 4830 South Dakota Ave NE Washington DC 20017 USA.

    Google Scholar 

  • Yamaguchi, M., & Sweet, J. (2002). A creative approach to multi-tonic changes: Beyond Coltrane’s harmonic formula. Annual Review of Jazz Studies, 12, 147–167.

    Google Scholar 

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Acknowledgments

Sincere gratitude to Jay Holden, Richard Jagacinski, and John Elliott for their collaboration and contributions for our article in Jazz Perspectives. Gratitude to Andrew White, Lewis Porter, Shane Ruland, Sean Ferguson, Ted McDaniel, David Huron, and Glenn Elliott for tools, assistance, and advice in this analysis of John Coltrane’s music and thanks to Paul Jones for technical consultation, Alex Charyton for his constructive feedback, Steven Pond for his attention to detail, Robert Weisberg for suggesting the concept of a case study, and the John Taggart for introducing me to the work of John Coltrane. Additional gratitude to Heeyeon Chung for contributions on improvisation along with Joseph Benson and Charles Hall. Special gratitude to Sean Ferguson for assisting in library assistance with library science expertise that is genuinely beneficial.

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Charyton, C. (2015). The Impact of Improvisation on Creativity: A Fractal Approach. In: Charyton, C. (eds) Creativity and Innovation Among Science and Art. Springer, London. https://doi.org/10.1007/978-1-4471-6624-5_8

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