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Transference: A Hybrid Computational System for Improvised Violin Performance

Published: 17 March 2019 Publication History

Abstract

Transference is a hybrid computational system for improvised violin performance. With hardware sensors and digital signal processing (DSP), the system shapes live acoustic input and computer-generated sound. An electromyographic (EMG) sensor unobtrusively monitors movements of the left hand, while a custom glove controller tracks bowing gestures of the right arm. Through continuous musical gesture the performer is able to actuate and perturb streams of computationally transmuted audio. No additional layers of windowing or semantically-inflected processes of machine learning mediate this process. Remaining at the level of signal processing, the lack of windowed and/or statistical mediation creates a sense of fine-grain tactility and physical transduction for the performer. The strategies employed are sufficiently generalizable to apply to situations beyond those imagined and implemented here within the scope of augmented violin performance.

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References

[1]
Perry Cook. 2001. Principles for Designing Computer Music Controllers. In Proceedings of the CHI'01 Workshop on New Interfaces for Musical Expression, 3--6.
[2]
Balandino Di Donato, Jamie Bullock, Atau Tanaka. Myo Mapper: A Myo Armband to OSC Mapper. In Proceedings of the 2011 Conference on New Interfaces for Musical Expression (NIME '18), 138--143.
[3]
Aden Evens. 2005. Sound Ideas: Music, Machines, and Experience. University of Minnesota Press, Minneapolis, MN.
[4]
Tod Machover. 1992. Hyperinstruments: A Composer's Approach to the Evolution of Intelligent Musical Instruments. In Cyberarts: Exploring Arts and Technology. Linda Jacobson (Ed.). Miller Freeman Inc., San Francisco, CA, 67--76.
[5]
Sha Xin Wei. 2002. Resistance is Fertile: Gesture and Agency in the Field of Responsive Media. Configurations 10, 3: 439--472.
[6]
Ana Tajadura-Jiménez, Aleksander Väljamäe, Frédéric Bevilacqua, and Nadia Bianchi-Berthouze. 2017. Principles for Designing Body-Centered Auditory Feedback. In The Wiley Handbook of Human Computer Interaction. Kent L. Norman and Jurek Kirakowski (Eds.). John Wiley & Sons Ltd., Chichester, UK, 371--403.
[7]
Seth Dominicus Thorn. 2018. Alto.glove: New Techniques for Augmented Violin. In Proceedings of the 2018 Conference on New Interfaces for Musical Expression (NIME '18), 334--339.

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cover image ACM Conferences
TEI '19: Proceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction
March 2019
785 pages
ISBN:9781450361965
DOI:10.1145/3294109
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Publication History

Published: 17 March 2019

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Author Tags

  1. augmented violin
  2. digital signal processing
  3. electronic music
  4. gesture
  5. interaction design
  6. live audio
  7. movement and computing
  8. performance
  9. sensors
  10. sonic interaction
  11. violin

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TEI '19 Paper Acceptance Rate 36 of 110 submissions, 33%;
Overall Acceptance Rate 393 of 1,367 submissions, 29%

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