Show simple item record

dc.contributor.advisorHattwick, Ian
dc.contributor.authorSavoldy, Lark
dc.date.accessioned2024-04-02T14:57:08Z
dc.date.available2024-04-02T14:57:08Z
dc.date.issued2024-02
dc.date.submitted2024-03-04T16:38:19.767Z
dc.identifier.urihttps://hdl.handle.net/1721.1/154027
dc.description.abstractLive coding is an electronic music performance practice in which performers generate music and visuals in real time by writing code. The cognitive approach to live coding differs greatly from that of gestural music, in which performers leverage extensive embodied knowledge of their instrument. These two domains, which each provide unique tools for musical creativity and expressivity, are often performed separately. This thesis considers the space between these two performance styles. The primary goal is to suggest the potential of a combined modality by considering techniques for gestural control over live code. A combination of live coding and gestural performance may allow for a new cognitive approach and entirely new ways to live code. To explore this idea, this thesis introduces GALiCA, a live coding system that implements four techniques for manipulating code through gestural interaction with a MIDI controller. These techniques are facilitated by a flexible sequencer conceptualization that allows for easy modification. Additionally, to guide the analyses, this thesis synthesizes existing conceptual perspectives on the cognition involved in gestural performance and live coding. The promising results and analyses of these techniques may encourage further exploration into this new field and prompt new cognitive approaches to electronic music performance.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.titleGALiCA: A Gestural Approach to Live Coding Algorithms
dc.typeThesis
dc.description.degreeM.Eng.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
mit.thesis.degreeMaster
thesis.degree.nameMaster of Engineering in Electrical Engineering and Computer Science


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record