Storytelling: The Human Experience Through Data-Driven Instruments

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Date

2023-03

Authors

Lee, Mei-ling

Journal Title

Journal ISSN

Volume Title

Publisher

University of Oregon

Abstract

This Digital Portfolio Dissertation is a collection of seven original real-time, interactive, multichannel compositions featuring data-driven instruments. This dissertation includes video recordings of seven individual performances, associated files needed for the performance of each work, and a descriptive text document for each of the seven compositions. The text document in this digital portfolio dissertation describes the storytelling components and the musical ideas and compositional structure of each composition, the design and implementation of each data-driven instrument, the sonic materials and data mapping strategies, as well as other extra-musical elements associated with each composition.

Description

Digital Portfolio Dissertation files include: Dissertation text document; zipped computer files; and 7 performance videos linked for streaming at this URL on University of Oregon Panopto service: https://uoregon.hosted.panopto.com/Panopto/Pages/Sessions/List.aspx#folderID=%22eba8a7df-69b3-4e67-a924-b0a001853032%22. Archival copies of videos have been preserved by the UO Libraries.

Keywords

Data-driven composition, Data-driven instruments

Citation