Skip to main content

Logistic Modeling of Note Transitions

  • Conference paper
  • First Online:
Mathematics and Computation in Music (MCM 2015)

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

Included in the following conference series:

Abstract

Note transitions form an essential part of expressive performances on continuous-pitch instruments. Their existence and precise characteristics are not captured in conventional music notation. This paper focuses on the modeling and representation of note transitions. We compare models of excerpted pitch contours of performed portamenti fitted using a Logistic function, a Polynomial, a Gaussian, and Fourier Series, each constrained to six coefficients. The Logistic Model is shown to have the lowest root mean squared error and the highest adjusted R-squared value; an ANOVA shows the difference to be significant. Furthermore, the Logistic Model produces musically meaningful outputs: transition slope, duration, and interval; and, time and pitch of the inflection point. A case study comparing portamenti between erhu and violin on the same musical phrase shows transition intervals to be piece-specific (as it is constrained by the notes in the score) but transition slopes, durations, and inflection points to be performer-specific.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    A portamento can be played with two fingers, in sequence, with the first finger sliding to an intermediate note or the second finger starting from an intermediate note.

References

  1. Applebaum, S.: The Way They Play. Paganiniana Publications, Neptune City (1972)

    Google Scholar 

  2. Brown, C.: The decline of the 19th-century German school of violin playing. http://chase.leeds.ac.uk/article/the-decline-of-the-19th-century-german-school-of-violin-playing-clive-brown/. Accessed in Jan 2015

  3. Cannam, C., Landone, C., Sandler, M.: Sonic visualiser: An open source application for viewing, analysing, and annotating music audio files. In: Proceedings of the International Conference on Multimedia, pp. 1467–1468. ACM (2010)

    Google Scholar 

  4. Costantakos, C.A.: Demetrios Constantine Dounis: His Method in Teaching the Violin. Peter Lang Publishing Inc., New York (1997)

    Google Scholar 

  5. Herman, R., Montroll, E.W.: A manner of characterizing the development of countries. Nat. Acad. Sci. 69, 3019–3023 (1972)

    Article  Google Scholar 

  6. Hua, Y.: Erquanyingyue. Zhiruo Ding and Zhanhao He, violin edn. (1958), musical Score

    Google Scholar 

  7. Huang, J.: The Moon Reflected on the Second Spring, on The Ditty of the South of the Jiangsu. CD (2006). ISBN: 9787885180706

    Google Scholar 

  8. Krishnaswamy, A.: Pitch measurements versus perception of south indian classical music. In: Proceedings of the Stockholm Music Acoustics Conference (SMAC) (2003)

    Google Scholar 

  9. Lee, H.: Violin portamento: An analysis of its use by master violinists in selected nineteenth-century concerti. In: ICMPC9 Proceedings of the 9th International Conference on Music Perception and Cognition, August 2006

    Google Scholar 

  10. Liu, J.: Properties of violin glides in the performance of cadential and noncadential sequences in solo works by bach. In: Proceedings of Meetings on Acoustics. vol. 19. Acoustical Society of America (2013)

    Google Scholar 

  11. Maher, R.C.: Control of synthesized vibrato during portamento musical pitch transitions. J. Audio Eng. Soc. 56(1/2), 18–27 (2008)

    Google Scholar 

  12. Marchetti, C., Nakicenovic, N.: The dynamics of energy systems and the logistic substitution model. Technical report. PRE-24360 (1979)

    Google Scholar 

  13. Ott, R.L., Longnecker, M.: An Introduction to Statistical Methods and Data Analysis, 6th edn. Brooks/Cole, Belmont (2010)

    Google Scholar 

  14. Payandeh, B.: Some applications of nonlinear regression models in forestry research. For. Chronicle 59(5), 244–248 (1983)

    Article  Google Scholar 

  15. Pearl, R.: The growth of populations. Q. Rev. Biol. 2, 532 (1927)

    Article  Google Scholar 

  16. Richards, F.J.: A flexible growth function for empirical use. J. Exp. Bot. 10(2), 290–301 (1959)

    Article  Google Scholar 

  17. The MathWorks, Inc., N.: Matlab r2013b (2013)

    Google Scholar 

  18. Tsoularis, A., Wallace, J.: Analysis of logistic growth models. Math. Biosci. 179(1), 21–55 (2002)

    Article  MathSciNet  MATH  Google Scholar 

  19. Verhulst, P.F.: Notice sur la loi que la population suit dans son accroissement. correspondance mathématique et physique publiée par a. Quetelet 10, 113–121 (1838)

    Google Scholar 

  20. Wang, G.: Track 4, disk 2, an anthology of chinese traditional and folk music a collection of music played on the erhu. CD (2009). ISBN: 9787799919928

    Google Scholar 

  21. Zhao, H.: Erhu yanzouzhong huayin de yunyong (the application of portamento in erhu playing). Chin. Music 4, 020 (1987). (in Chinese)

    Google Scholar 

Download references

Acknowledgments

This research is supported in part by the China Scholarship Council. The authors would like to thank Jian Yang and Laurel Pardue for the violin recordings.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luwei Yang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Yang, L., Chew, E., Rajab, K.Z. (2015). Logistic Modeling of Note Transitions. 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_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-20603-5_16

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20602-8

  • Online ISBN: 978-3-319-20603-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics