Center for Computer Research in Music and Acoustics
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Jimi Hendrix. Keith Emerson. Wendy Carlos. Jeff Mills. The Beastie Boys. Aphex Twin. What do these artists have in common? Their signature sounds feature vintage audio circuits including fuzz boxes, Moog synths, analog drum machines, etc.
In this dissertation defense, Kurt James Werner will present theoretical contributions to topological and nonlinear aspects of Wave Digital Filter theory, advancing the state of the art of virtual analog circuit modeling of classic audio gear. Throughout, the legendary bass drum circuit from the TR-808 Rhythm Composer will serve as a case study, demonstrating the theoretical advances in action.
(don't worry, we've patched in the gigantic QSC subwoofer)
Offical abstract follows.
Without a doubt, the most important recent advancement in machine learning (and AI) has been the success of deep neural networks. They are key to modern speech recognition and many other areas.
"Cross adaptive processing as musical intervention - Exploring radically new modes of musical interaction in live performance" Øyvind Brandtsegg (Norwegian University of Technology and Science)
The project explores cross-adaptive processing as a drastic intervention in the modes of communication between performing musicians. Digital audio analysis and processing techniques are used to enable features of one sound to inform the processing of another. This allows the actions of one performer to directly influence another performer’s sound, and doing so only by means of the acoustic signal produced by normal musical expression on the instrument.
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