Storytelling: The Human Experience Through Data-Driven Instruments

dc.contributor.advisor
dc.contributor.authorLee, Mei-ling
dc.date.accessioned2023-10-19T23:54:41Z
dc.date.available2023-10-19T23:54:41Z
dc.date.issued2023-03
dc.descriptionDigital 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.en_US
dc.description.abstractThis 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.en_US
dc.identifier.urihttps://hdl.handle.net/1794/29003
dc.language.isoenen_US
dc.publisherUniversity of Oregonen_US
dc.rightsCreative Commons BY-NC-ND 4.0-USen_US
dc.subjectData-driven compositionen_US
dc.subjectData-driven instrumentsen_US
dc.titleStorytelling: The Human Experience Through Data-Driven Instrumentsen_US
dc.typeThesis / Dissertationen_US

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