Skip to main content

The description of a process for identifying musical performance behavior in instrumentalists using computer-based sound spectrum analysis, with implications for an interactive acoustic musical system

  • Media Based CAL
  • Conference paper
  • First Online:
Book cover Computer Assisted Learning (ICCAL 1990)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 438))

Included in the following conference series:

  • 1206 Accesses

Abstract

In summary, it is apparent that a computer-based sound analysis system will provide information which, in association with analysis of a performer's audiovisual records can permit identification of performance behaviour. This facility makes possible the structuring of a database of tagged performance attributes that, when recognized by a computer-driven interactive instructional system, will allow a CAL environment to provide a musician with both diagnostic response to performance or instructional feedback for skill acquisition, depending on how the system is programmed when the computer recognizes what the acoustic musical performer is doing. For the purposes of securing greater reliability and validity in the computer-based analysis of performance behaviour, the process described here must be replicated many times and the frequency spectra analyzed quantitatively across the range and types of performance responses. However, within the limits of this study it is worthwhile noting that, gradually, both the technology of computer-based sound processing and its potential for education are evolving toward the generation of practical tools for music learning.

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

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Bibliography

  • Clendinning, J. (1983). Computer recognition of pitch for musical applications. Unpublished masters thesis, North Texas State University.

    Google Scholar 

  • Czvitkovicz, G. A. (1984). A real-time pitch extractor. Unpublished masters thesis, University of Illinois at Urbana-Champaign.

    Google Scholar 

  • Dubnowski, J., Schafer, R., & Rabiner, L. R. (1976). Real-time digital hardware pitch detector. Institute of Electrical and Electronics Engineers Transactions on Acoustics, Speech, and Signal Processing, 24 (February) 2–8.

    Google Scholar 

  • Kolb, R. (1984). A real-time microcomputer-assisted system for translating aural, monophonic tones into music notation as an aid in sightsinging. Unpublished doctoral dissertation, The Louisiana State University and Agricultural and Technical College, Ph.D.

    Google Scholar 

  • Rees, F. J. (1988, August). The development of a computer-driven, interactive program for teaching vibrato to beginning violinists. Paper presented at the meeting of the International Council for Distance Education, Oslo, Norway.

    Google Scholar 

  • Rees, F. J. (1986). The incorporation of remediation procedures for an individualized interactive videodisc-based program for learning vibrato technique on the violin. In Stevens, R. S. (Ed.), Computer Technology and Music Education: The Australian Beginning. Victoria, Australia: Deakin University.

    Google Scholar 

  • Rees, F. J. (1985–6). A PLATO-based videodisc self-instructional program for directing the development of string vibrato technique. Journal of Educational Technology Systems, 14 (4), 283–296.

    Google Scholar 

  • Terhardt, E., Stoll, G., & Seewann M. (1982). Pitch of complex signals according to virtual-pitch theory: Tests, examples, and predictions. Journal of the Acoustical Society of America, 71 (3), 671–678.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Douglas H. Norrie Hans-Werner Six

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Rees, F.J., Michelis, R.M. (1990). The description of a process for identifying musical performance behavior in instrumentalists using computer-based sound spectrum analysis, with implications for an interactive acoustic musical system. In: Norrie, D.H., Six, HW. (eds) Computer Assisted Learning. ICCAL 1990. Lecture Notes in Computer Science, vol 438. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020899

Download citation

  • DOI: https://doi.org/10.1007/BFb0020899

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-52699-5

  • Online ISBN: 978-3-540-47111-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics