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2017 | OriginalPaper | Chapter

Machine Learning as Meta-Instrument: Human-Machine Partnerships Shaping Expressive Instrumental Creation

Author : Rebecca Fiebrink

Published in: Musical Instruments in the 21st Century

Publisher: Springer Singapore

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Abstract

In this chapter, I describe how supervised learning algorithms can be used to build new digital musical instruments. Rather than merely serving as methods for inferring mathematical relationships from data, I show how these algorithms can be understood as valuable design tools that support embodied, real-time, creative practices. Through this discussion, I argue that the relationship between instrument builders and instrument creation tools warrants closer consideration: the affordances of a creation tool shape the musical potential of the instruments that are built, as well as the experiences and even the creative aims of the human builder. Understanding creation tools as “instruments” themselves invites us to examine them from perspectives informed by past work on performer-instrument interactions.

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Footnotes
1
In this chapter, I use the word “composer” to refer to people who build new musical instruments and create customized controller mappings, rather than referring to them as instrument builders or musicians. This word choice reflects an understanding of instrument building as an act of musical composition (cf. Schnell and Battier 2002, discussed above). It also accommodates the fact that there may not be a clear or consistent distinction between the notions of instrument, “preset” or mapping, and composition. For instance, at least two of the composers discussed here (Dan Trueman and Laetitia Sonami) have used the same controllers or sensors to play different musical pieces, but designed a different gesture-to-sound mapping for each piece.
 
Literature
go back to reference Bencina, R. (2005). The metasurface: Applying natural neighbour interpolation to two-to-many mapping. In Proceedings of the International Conference on New Interfaces for Musical Expression (pp. 101–104). Bencina, R. (2005). The metasurface: Applying natural neighbour interpolation to two-to-many mapping. In Proceedings of the International Conference on New Interfaces for Musical Expression (pp. 101–104).
go back to reference Bevilacqua, F., Müller, R., & Schnell, N. (2005). MnM: A Max/MSP mapping toolbox. In Proceedings of the International Conference on New Interfaces for Musical Expression (pp. 85–88). Bevilacqua, F., Müller, R., & Schnell, N. (2005). MnM: A Max/MSP mapping toolbox. In Proceedings of the International Conference on New Interfaces for Musical Expression (pp. 85–88).
go back to reference Buxton, B. (2010). Sketching user experiences: Getting the design right and the right design. Morgan Kaufmann. Buxton, B. (2010). Sketching user experiences: Getting the design right and the right design. Morgan Kaufmann.
go back to reference Chadabe, J. (1997). Electric sound: The past and promise of electronic music. Upper Saddle River, New Jersey: Prentice Hall. Chadabe, J. (1997). Electric sound: The past and promise of electronic music. Upper Saddle River, New Jersey: Prentice Hall.
go back to reference Chadabe, J. (2002). The limitations of mapping as a structural descriptive in electronic instruments. In Proceedings of the International Conference on New Interfaces for Musical Expression . Chadabe, J. (2002). The limitations of mapping as a structural descriptive in electronic instruments. In Proceedings of the International Conference on New Interfaces for Musical Expression .
go back to reference Drummond, J. (2009). Understanding interactive systems. Organised Sound, 14(2), 124–133.CrossRef Drummond, J. (2009). Understanding interactive systems. Organised Sound, 14(2), 124–133.CrossRef
go back to reference Fails, J. A., & Olsen Jr, D. R. (2003). Interactive machine learning. In Proceedings of the International Conference on Intelligent User Interfaces (pp. 39–45). Fails, J. A., & Olsen Jr, D. R. (2003). Interactive machine learning. In Proceedings of the International Conference on Intelligent User Interfaces (pp. 39–45).
go back to reference Fels, S. S., & Hinton, G. E. (1995). Glove-TalkII: An adaptive gesture-to-formant interface. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 456–463). Fels, S. S., & Hinton, G. E. (1995). Glove-TalkII: An adaptive gesture-to-formant interface. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 456–463).
go back to reference Fiebrink, R. A., & Cook, P. R. (2011). Real-time human interaction with supervised learning algorithms for music composition and performance (doctoral dissertation). Princeton University, Princeton, NJ. Fiebrink, R. A., & Cook, P. R. (2011). Real-time human interaction with supervised learning algorithms for music composition and performance (doctoral dissertation). Princeton University, Princeton, NJ.
go back to reference Fiebrink, R., Cook, P. R., & Trueman, D. (2011). Human model evaluation in interactive supervised learning. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 147–156). Fiebrink, R., Cook, P. R., & Trueman, D. (2011). Human model evaluation in interactive supervised learning. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 147–156).
go back to reference Fiebrink, R., Trueman, D., Britt, C., Nagai, M., Kaczmarek, K., et al. (2010). Toward understanding human-computer interaction in composing the instrument. In Proceedings of the International Computer Music Conference. Fiebrink, R., Trueman, D., Britt, C., Nagai, M., Kaczmarek, K., et al. (2010). Toward understanding human-computer interaction in composing the instrument. In Proceedings of the International Computer Music Conference.
go back to reference Fiebrink, R., Trueman, D., & Cook, P. R. (2009). A meta-instrument for interactive, on-the-fly machine learning. In Proceedings of the International Conference on New Interfaces for Musical Expression. Fiebrink, R., Trueman, D., & Cook, P. R. (2009). A meta-instrument for interactive, on-the-fly machine learning. In Proceedings of the International Conference on New Interfaces for Musical Expression.
go back to reference Garnett, G., & Goudeseune, C. (1999). Performance factors in control of high-dimensional spaces. In Proceedings of the International Computer Music Conference (pp. 268–271). Garnett, G., & Goudeseune, C. (1999). Performance factors in control of high-dimensional spaces. In Proceedings of the International Computer Music Conference (pp. 268–271).
go back to reference Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009). The Weka data mining software: An update. ACM SIGKDD Explorations Newsletter, 11(1), 10–18.CrossRef Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., & Witten, I. H. (2009). The Weka data mining software: An update. ACM SIGKDD Explorations Newsletter, 11(1), 10–18.CrossRef
go back to reference Hunt, A. & Kirk, R. (2000). Mapping strategies for musical performance. In M. M. Wanderley & M. Battier (Eds.). Trends in Gestural Control of Music. IRCAM—Centre Pompidou. Hunt, A. & Kirk, R. (2000). Mapping strategies for musical performance. In M. M. Wanderley & M. Battier (Eds.). Trends in Gestural Control of Music. IRCAM—Centre Pompidou.
go back to reference Hunt, A., & Wanderley, M. M. (2002). Mapping performer parameters to synthesis engines. Organised Sound, 7(2), 97–108.CrossRef Hunt, A., & Wanderley, M. M. (2002). Mapping performer parameters to synthesis engines. Organised Sound, 7(2), 97–108.CrossRef
go back to reference Hunt, A., Wanderley, M. M., & Paradis, M. (2002). The importance of parameter mapping in electronic instrument design. In Proceedings of the International Conference on New Interfaces for Musical Expression. Hunt, A., Wanderley, M. M., & Paradis, M. (2002). The importance of parameter mapping in electronic instrument design. In Proceedings of the International Conference on New Interfaces for Musical Expression.
go back to reference Katan, S., Grierson, M., & Fiebrink, R. (2015). Using interactive machine learning to support interface development through workshops with disabled people. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 251–254). Katan, S., Grierson, M., & Fiebrink, R. (2015). Using interactive machine learning to support interface development through workshops with disabled people. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 251–254).
go back to reference Lee, M., Freed, A., & Wessel, D. (1991). Real-time neural network processing of gestural and acoustic signals. In Proceedings of the International Computer Music Conference (pp. 277–277). Lee, M., Freed, A., & Wessel, D. (1991). Real-time neural network processing of gestural and acoustic signals. In Proceedings of the International Computer Music Conference (pp. 277–277).
go back to reference Moon, B. (1997). Score following and real-time signal processing strategies in open-form compositions. Information Processing Society of Japan, SIG Notes, 97(122), 12–19. Moon, B. (1997). Score following and real-time signal processing strategies in open-form compositions. Information Processing Society of Japan, SIG Notes, 97(122), 12–19.
go back to reference Morris, D., & Fiebrink, R. (2013). Using machine learning to support pedagogy in the arts. Personal and Ubiquitous Computing, 17(8), 1631–1635.CrossRef Morris, D., & Fiebrink, R. (2013). Using machine learning to support pedagogy in the arts. Personal and Ubiquitous Computing, 17(8), 1631–1635.CrossRef
go back to reference Resnick, M., Myers, B., Nakakoji, K., Shneiderman, B., Pausch, R., Selker, T., et al. (2005). Design principles for tools to support creative thinking. In Report of Workshop on Creativity Support Tools. Washington, DC, USA. Resnick, M., Myers, B., Nakakoji, K., Shneiderman, B., Pausch, R., Selker, T., et al. (2005). Design principles for tools to support creative thinking. In Report of Workshop on Creativity Support Tools. Washington, DC, USA.
go back to reference Rittel, H. W. (1972). On the planning crisis: Systems analysis of the ‘first and second generations’. Bedriftsøkonomen, 8, 390–396. Rittel, H. W. (1972). On the planning crisis: Systems analysis of the ‘first and second generations’. Bedriftsøkonomen, 8, 390–396.
go back to reference Rowe, R., Garton, B., Desain, P., Honing, H., Dannenberg, R., Jacobs, D., et al. (1993). Editor’s notes: Putting Max in perspective. Computer Music Journal, 17(2), 3–11.CrossRef Rowe, R., Garton, B., Desain, P., Honing, H., Dannenberg, R., Jacobs, D., et al. (1993). Editor’s notes: Putting Max in perspective. Computer Music Journal, 17(2), 3–11.CrossRef
go back to reference Schnell, N., & Battier, M. (2002). Introducing composed instruments, technical and musicological implications. In Proceedings of the International Conference on New Interfaces for Musical Expression. Schnell, N., & Battier, M. (2002). Introducing composed instruments, technical and musicological implications. In Proceedings of the International Conference on New Interfaces for Musical Expression.
go back to reference Sonami, L. (2016). Lecture on machine learning, within online class “Machine Learning for Musicians and Artists” by R. Fiebrink, produced by Kadenze, Inc. Sonami, L. (2016). Lecture on machine learning, within online class “Machine Learning for Musicians and Artists” by R. Fiebrink, produced by Kadenze, Inc.
go back to reference Wanderley, M. M., & Depalle, P. (2004). Gestural control of sound synthesis. Proceedings of the IEEE, 92(4), 632–644.CrossRef Wanderley, M. M., & Depalle, P. (2004). Gestural control of sound synthesis. Proceedings of the IEEE, 92(4), 632–644.CrossRef
go back to reference Wessel, D. (2006). An enactive approach to computer music performance. In Y. Orlarey (Ed.), Le Feedback dans la Creation Musical (pp. 93–98). Lyon, France: Studio Gramme. Wessel, D. (2006). An enactive approach to computer music performance. In Y. Orlarey (Ed.), Le Feedback dans la Creation Musical (pp. 93–98). Lyon, France: Studio Gramme.
go back to reference Wright, M., & Freed, A. (1997). Open Sound Control: A new protocol for communicating with sound synthesizers. In Proceedings of the International Computer Music Conference. Wright, M., & Freed, A. (1997). Open Sound Control: A new protocol for communicating with sound synthesizers. In Proceedings of the International Computer Music Conference.
Metadata
Title
Machine Learning as Meta-Instrument: Human-Machine Partnerships Shaping Expressive Instrumental Creation
Author
Rebecca Fiebrink
Copyright Year
2017
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-2951-6_10

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