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dc.contributor.authorBukvic, Ivica Ico
dc.contributor.authorMatthews, Michael
dc.date.accessioned2015-10-14T15:29:04Z
dc.date.available2015-10-14T15:29:04Z
dc.date.issued2015-07
dc.identifier.citationBukvic, I., and Matthews, M. , N. "Aegis audio engine: integrating a real-time analog signal processing, pattern recognition, and a procedural soundtrack in a live twelve-perfomer spectacle with crowd participation". In K. Vogt, A. Andreopoulou, & V. Goudarzi, eds. Proceedings of the 21st International Conference on Auditory Display (ICAD 2015). July 6-10, 2015, Graz, Styria, Austria.en_US
dc.identifier.isbn978-3-902949-01-1
dc.identifier.urihttp://hdl.handle.net/1853/54098
dc.descriptionPresented at the 21st International Conference on Auditory Display (ICAD2015), July 6-10, 2015, Graz, Styria, Austria.en_US
dc.description.abstractIn the following paper we present Aegis: a procedural networked soundtrack engine driven by real-time analog signal analysis and pattern recognition. Aegis was originally conceived as part of Drummer Game, a game-performance-spectacle hybrid research project focusing on the depiction of a battle portrayed using terracotta soldiers. In it, each of the twelve cohorts—divided into two armies of six—are led by a drummer-performer who issues commands by accurately drumming precomposed rhythmic patterns on an original Chinese war drum. The ensuing spectacle is envisioned to also accommodate large audience participation whose input determines the morale of the two armies. An analog signal analyzer utilizes efficient pattern recognition to decipher the desired action and feed it both into the game and the soundtrack engine. The soundtrack engine then uses this action, as well as messages from the gaming simulation, to determine the most appropriate soundtrack parameters while ensuring minimal repetition and seamless transitions between various clips that account for tempo, meter, and key changes. The ensuing simulation offers a comprehensive system for pattern-driven input, holistic situation assessment, and a soundtrack engine that aims to generate a seamless musical experience without having to resort to cross-fades and other simplistic transitions that tend to disrupt a soundtrack’s continuity.en_US
dc.publisherGeorgia Institute of Technologyen_US
dc.rightsThis work is licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License.
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectAuditory displayen_US
dc.subjectSignal processingen_US
dc.subjectSoundtracksen_US
dc.titleAegis audio engine: integrating a real-time analog signal processing, pattern recognition, and a procedural soundtrack in a live twelve-perfomer spectacle with crowd participationen_US
dc.typeProceedingsen_US
dc.contributor.corporatenameVirginia Polytechnic Institute and State University. School of Performing Artsen_US
dc.contributor.corporatenameVirginia Polytechnic Institute and State University. Institute for Creativity, Arts and Technologyen_US
dc.contributor.corporatenameVirginia Polytechnic Institute and State University. Digital Interactive Sound and Intermedia Studioen_US
dc.publisher.originalUniversity of Music and Performing Arts Graz. Institute of Electronic Music and Acoustics
dc.embargo.termsnullen_US


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