Center for Computer Research in Music and Acoustics
CCRMA Open House
Save the date!
On Friday, March 3, 2017, we invite anyone who is interested in seeing what we've be up to at CCRMA to come explore! From 10-5, the whole house will be open, with demonstrations, open classes, posters, music, and more in most nooks and crannies of the Knoll.
Then, at 5PM, join us for a beer, snacks, conversation, and music in our backyard.
Please join us! https://ccrma.stanford.edu/ccrma-open-house
Summer Workshops 2017 Announced!
Abstract: The NESS project (standing for Next Generation Sound Synthesis), funded through a Starting Grant from the European Research Council for five years beginning on January 1, 2012 is an exploratory project, concerned entirely with synthetic sound—and in particular, numerical simulation techniques for physical modelling sound synthesis in parallel hardware. It is a joint project between the Acoustics and Audio Group and the Edinburgh Parallel Computing Centre, both at the University of Edinburgh. The models developed in the course of the project span a large set of systems, including brass, cymbals and gongs, percussions, guitar/fretboard interaction, bowed strings and large 3D room acoustics simulations.
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Listening effort depends on acoustic cues the brain uses for sound segregation and selective attention
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.
"In reviewing electronic music composer Holly Herndon’s breakout debut, 2012's Movement, we noted her penchant for "Bending one person's voice into phantasmagorias", which continues on her newest, breath-halting single, “Chorus”." Read more, and watch video here...