Center for Computer Research in Music and Acoustics
Doctoral Application Fee Waivers Now Available!
The Stanford Department of Music and the School of Humanities and Sciences is pleased to offer application fee waivers to qualifying applicants to all doctoral programs in the Department of Music. For details on qualifications and how to apply, please navigate over to Dept. of Music Funding Information.
Students have been working extremely hard this quarter and their projects are really impressive! Come check out their audio plug-ins, video games, art installations, smartphone apps, interactive music softwares, etc.!
There will be poster sessions, short talks, performances, demos, etc.
These presentations will feature works by:
Nielsen Consumer Neuroscience uses measures of neurophysiology to develop insights into consumer experience and behavior. This presentation will provide an overview of those measures, test-retest reliability, validation to in-market sales, and how Nielsen scales neuroscience globally for work with multinational companies. Research at Nielsen provides further evidence that music, in particular, significantly affects advertising performance by influencing emotional engagement and memory activation, and by triggering semantic associations. Case study examples will demonstrate these effects and how consumer neuroscience methods are applied in practice.
Acoustics is the Science of Sound. Musical acoustics deals with the science and technology of musical sound. The study of musical acoustics is important for performers, conposers, researchers, instrument designers and builders, and serious listeneers.
This talk will highlight some of the hot topics in musical acoustics, the courses in acoustics at CCRMA, publications in musical acoustics, and the services provided by the Acoustical Society of America.
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.
"Unlike sex or hunger, music doesn’t seem absolutely necessary to everyday survival – yet our musical self was forged deep in human history, in the crucible of evolution by the adaptive pressure of the natural world. That’s an insight that has inspired Chris Chafe, Director of Stanford University’s Center for Computer Research in Music and Acoustics (or CCRMA, stylishly pronounced karma).
Read the full article here!