Title:
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
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
Author(s)
Bukvic, Ivica Ico
Matthews, Michael
Matthews, Michael
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Abstract
In 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.
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Date Issued
2015-07
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Proceedings
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This work is licensed under Creative Commons Attribution
– Non Commercial (unported, v3.0) License.