- The Oxford Handbook of Computer Music
- Introduction: The Many Futures of Computer Music
- A Historical View of Computer Music Technology
- Early Hardware and Early Ideas in Computer Music: Their Development and Their Current Forms
- Sound Synthesis Using Computers
- Computational Approaches to Composition of Notated Instrumental Music: Xenakis and the Other Pioneers
- Envisaging Improvisation in Future Computer Music
- Computer Music: Some Reflections
- Some Notes on My Electronic Improvisation Practice
- Combining the Acoustic and the Digital: Music for Instruments and Computers or Prerecorded Sound
- Dancing the Music: Interactive Dance and Music
- Gesture and Morphology in Laptop Music Performance
- Sensor-Based Musical Instruments and Interactive Music
- Spatialization and Computer Music
- The Voice in Computer Music and Its Relationship to Place, Identity, and Community
- Algorithmic Synesthesia
- An Introduction to Data Sonification
- Generative Algorithms for Making Music: Emergence, Evolution, and Ecosystems
- Computational Modeling of Music Cognition and Musical Creativity
- Soundspotting: A New Kind of Process?
- Interactivity and Improvisation
- From Outside the Window: Electronic Sound Performance
- Empirical Studies of Computer Sound
- Toward the Gender Ideal
- Sound-Based Music 4 All
- Framing Learning Perspectives in Computer Music Education
- Appendix: A Chronology of Computer Music and Related Events
Abstract and Keywords
This article presents a pragmatic introduction to data sonification. Its aim is to provide an understanding of the origins and conceptual issues involved in this young, interdisciplinary, and quickly evolving discipline. It begins by summarizing different ways sonification has been defined, the types and classifications of data that it attempts to represent with sound, and how these representations perform under the pressure of real-world usage. It also discusses continuous data representations (CDRs) that treat data as analogically continuous. They rely on two preconditions: an equally spaced metric in at least one dimension and sufficient data to afford a high enough sampling rate for aural interpolation between data points. Most commonly, CDRs are used for exploring data to learn more about the system that produced it. The need for better tools for data sonification is raised and leads to discussion of the value of collaborative research and a reflection on the relationship between music sound and science.
David Worrall, University of Canberra
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