skip to main content
10.1145/1753846.1754116acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
extended-abstract

Toward a computationally-enhanced acoustic grand piano

Published:10 April 2010Publication History

ABSTRACT

Although the capabilities of electronic musical instruments have grown exponentially over the past decades, many performers continue to prefer acoustic instruments, perceiving them to be more expressive than their electronic counterparts. We seek to create a new application for computer music interfaces by augmenting, rather than replacing, acoustic instruments. Starting with an acoustic grand piano, an optical keyboard scanner measures the continuous position of every key while electromagnetic actuators directly induce the strings to vibration. Unlike the traditional piano, the performer is given the ability to continuously modulate the sound of each note, resulting in a new creative vocabulary. Ongoing work explores the creation of intelligent mappings from sensed user input to acoustic control parameters which build on the existing musical intuition of trained pianists, creating a hybrid acoustic-electronic instrument that offers new expressive dimensions for human performers.

References

  1. E. Berdahl, S. Backer, and J. Smith. If I had a hammer: Design and theory of an electromagnetically-prepared piano. In Proc. ICMC 2005.Google ScholarGoogle Scholar
  2. E. Berdahl, G. Niemeyer, and J. Smith. Active control of a vibrating string. In Proc. Acoustics '08.Google ScholarGoogle Scholar
  3. C. Besnainou. Transforming the voice of musical instruments by active control of the sound radiation. In Proc. ACTIVE 1999.Google ScholarGoogle Scholar
  4. P. Bloland. The electromagnetically-prepared piano and its compositional implications. In Proc. ICMC 2007.Google ScholarGoogle Scholar
  5. H. Boutin and C. Besnainou. Physical parameters of an oscillator changed by active control: Application to a xylophone bar. In Proc. DAFx 2008.Google ScholarGoogle Scholar
  6. H. Boutin and C. Besnainou. Physical parameters of the violin bridge changed by active control. In Proc. Acoustics '08.Google ScholarGoogle Scholar
  7. A. Freed and R. Avizienis. A new music keyboard featuring continuous key-position sensing and high-speed communication options. In Proc. ICMC 2000.Google ScholarGoogle Scholar
  8. W. Goebl and C. Palmer. Tactile feedback and timing accuracy in piano performance. Experimental Brain Research, 186(3):471--479, April 2008.Google ScholarGoogle ScholarCross RefCross Ref
  9. A. McPherson. The magnetic resonator piano: Electronic augmentation of an acoustic grand piano. Journal of New Music Research. In press.Google ScholarGoogle Scholar
  10. R. A. Moog and T. L. Rhea. Evolution of the keyboard interface: The Bösendorfer 290 SE recording piano and the Moog multiply-touch-sensitive keyboards. Computer Music Journal, 14(2):52--60, Summer 1990.Google ScholarGoogle ScholarCross RefCross Ref
  11. Piano Bar. Products of interest. Computer Music Journal, 29(1):104--113, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Toward a computationally-enhanced acoustic grand piano

        Recommendations

        Comments

        Login options

        Check if you have access through your login credentials or your institution to get full access on this article.

        Sign in
        • Published in

          cover image ACM Conferences
          CHI EA '10: CHI '10 Extended Abstracts on Human Factors in Computing Systems
          April 2010
          2219 pages
          ISBN:9781605589305
          DOI:10.1145/1753846

          Copyright © 2010 Copyright is held by the author/owner(s)

          Publisher

          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 10 April 2010

          Permissions

          Request permissions about this article.

          Request Permissions

          Check for updates

          Qualifiers

          • extended-abstract

          Acceptance Rates

          CHI EA '10 Paper Acceptance Rate350of1,346submissions,26%Overall Acceptance Rate6,164of23,696submissions,26%

        PDF Format

        View or Download as a PDF file.

        PDF

        eReader

        View online with eReader.

        eReader