Sounds of Unseen Boundaries: A Digital Portfolio Dissertation of Seven Original Compositions for Data-driven Instruments

dc.contributor.advisor
dc.contributor.authorBoyt, Zachary James
dc.date.accessioned2023-04-06T23:30:23Z
dc.date.available2023-04-06T23:30:23Z
dc.date.issued2023-03
dc.descriptionDigital Portfolio Dissertation files include: descriptive text document; README; 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=a45a8cd1-312d-45d7-9079-afbe01839275 . Archival copies of videos have been preserved by the UO Libraries.en_US
dc.description.abstractSounds of Unseen Boundaries: A Digital Portfolio Dissertation of Seven Original Compositions for Data-driven Instruments is presented as a Digital Portfolio Dissertation of seven compositions for data-driven instruments. The entirety of the Digital Portfolio Dissertation consists of video documentation of each piece, software and score material used in performance, and a text document serving as an accompanying analytical guide to each composition and its respective data-driven instrument. This document contains definitions related to the conceptual frameworks of data-driven instruments, an analysis of the design and implementation of each instrument, data mapping strategies used, compositional structures, and issues and practices in their performance. The compositions included in this Digital Portfolio Dissertation are: unFamiliar, Within the Tallest Tree, Things Look Different Here, A Need to Be Free, A Musical Interpretation on the Findings of Voyager 2, family, friends, and Virtualability.en_US
dc.identifier.urihttps://hdl.handle.net/1794/28143
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.subjectMusic compositionen_US
dc.titleSounds of Unseen Boundaries: A Digital Portfolio Dissertation of Seven Original Compositions for Data-driven Instrumentsen_US
dc.typeTerminal Projecten_US

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