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Sonic Exploration with Dream Theater's Jordan Rudess

Mon, 02/05/2018 - 03:53
Date:  Thu, 02/22/2018 - 7:30pm - 9:00pm Location:  Memorial Church Event Type:  Concert

Please join us at Stanford Memorial Church as CCRMA presents an evening of Sonic Exploration with Dream Theater's Jordan Rudess. Voted "Best Keyboardist of All Time" by Music Radar Magazine, Jordan is best known as the keyboardist/multi-instrumentalist extraordinaire for platinum-selling Grammy- nominated prog rock band, Dream Theater. A classical prodigy who began his studies at the Juilliard School of Music at the age of 10, Jordan's music is a unique blend of classical and rock influence.

FREE Open to the Public

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Expressive MIDI Control in VR and Foot Control

Wed, 01/24/2018 - 09:02
Date:  Tue, 01/30/2018 - 5:00pm - 5:50pm Location:  CCRMA Classroom [Knoll 217] Event Type:  Guest Colloquium Speaker: Loki Davison from musicroomvr.com

Abstract: After commercially releasing a number of VR MIDI controllers and a physical multidimensional foot controller I'll share my development process, findings from observing hundreds of musicians use them and feedback from customers. I'll highlight common pitfalls and discuss how multidimensional control can help make new expressive instruments but also combine with traditional instruments to enable deep live effect control.


FREE Open to the Public

Yaqing Su on Neural Coding of Pitch Cues in the Auditory Midbrain

Tue, 01/23/2018 - 23:28
Date:  Fri, 02/16/2018 - 10:30am - 12:00pm Location:  CCRMA Seminar Room Event Type:  Hearing Seminar Neural Coding of Pitch Cues in the Auditory MidbrainNeural Coding of Pitch Cues in the Auditory Midbrain music perception that pitch??!!?!? And just how do we perceive pitch? After many decades it’s still a source of many disagreements, and much research.

Pitch is critical to auditory perception. It’s an important cue for separating sounds in a cocktail party. It binds a speech signal together so you hear speech instead of a bunch of chirps. Yet, the exact mechanism that our brain uses to hear the pitch of a signal is not known. Yaqing Su will be talking about evidence she has found that suggests that pitch is perceived with a combination of measures, effectively sidestepping the argument about place vs. time. This will be fun.
FREE Open to the Public

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Decoding EEG Signals by Malcolm Slaney

Mon, 01/22/2018 - 18:36
Date:  Fri, 02/02/2018 - 10:30am - 12:00pm Location:  CCRMA Seminar Room Event Type:  Hearing Seminar There are many ways to interpret EEG signals, but the newest approach eschew averaging and perform single-shot decoding. This allows for real-time information about how a subject is perceiving a sound. How does one connect arbitrary audio to the resulting EEG signals?  Or how does one predict the audio that resulted in a particular EEG signal?  Can I tell you the sound you are attending to?  I'll be talking about recent work using linear and correlation methods to build better models that connect audition and EEG signals. This a form of system identification, and has been shown to work for decoding which of two audio signals one is attending to.  Cool stuff.

Who: Malcolm Slaney (Google and CCRMA)
What: EEG Decoding Algorithms and Results FREE Open to the Public

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CCRMA At Bing - Greatest Bongs

Wed, 01/17/2018 - 20:20
Date:  Fri, 01/26/2018 - 7:30pm - 9:00pm Date:  Sat, 01/27/2018 - 7:30pm - 9:00pm Location:  BING CONCERT HALL - MAIN HALL Event Type:  Concert CCRMA presents two concerts of the best of CCRMA's recent electroacoustic multichannel music, deploying our GRAIL (Giant Radial Array for Immersive Listening) speaker array on the main stage of Bing:

Friday January 26th:

Mark Applebaum
Jonathan Berger
Alex Chechile
Chris Chafe
Elliot Canfield-Dafilou
Fernando Lopez-Lezcano
Anders Tveit

Saturday January 27th:

Constantin Basica
Chris Chafe
Christopher Jette
Jarek Kapuscinski
Fernando Lopez-Lezcano
Anders Tveit
Nick Virzi

FREE Open to the Public

the first time you closed your eyes

Fri, 01/12/2018 - 07:35
Date:  Mon, 01/22/2018 - 7:30pm - 8:40pm Location:  CCRMA STAGE Event Type:  Concert  Jane Rigler, Christopher Jette and Matt Wright present an evening of improvised electro-acoustic music. "the first time you closed your eyes" provides a contemplative point of departure for the sonic explorations. The two ~22 minute sets take advantage of the 64 channel array of speakers on the CCRMA stage. The performance will combine flute, a monochord and a cybernetically controled feedback network.  FREE Open to the Public

Romain Michon's Dissertation Defense: The Hybrid Mobile Instrument — Recoupling the Haptic, the Physical, and the Virtual

Wed, 01/10/2018 - 00:30
Date:  Wed, 02/07/2018 - 5:30pm - 7:00pm Location:  CCRMA Stage Event Type:  Other Romain Michon will present a defense of his doctoral dissertation on "The Hybrid Mobile Instrument — Recoupling the Haptic, the Physical, and the Virtual." 

For those who are not able to attend in person, a live stream link will be available soon. 

Abstract:

The decoupling of the "controller" from the "synthesizer" is one of the defining characteristic of digital musical instruments (DMIs). While this allows for much flexibility, this "demutualization" (as Perry Cook termed) sometimes results in a loss of intimacy between the performer and the instrument. FREE Open to the Public

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Audio Style Transformations using Deep Neural Networks by Prateek Verma

Mon, 01/08/2018 - 06:40
Date:  Fri, 01/12/2018 - 10:30am - 12:00pm Location:  CCRMA Seminar Room Event Type:  Hearing Seminar

Deep Neural Networks (DNNs) have been wildly successful for many tasks, but none of the tasks are as wondrous as the success that DNNs have had on transferring the style of one painting to another painter’s art. This magical trick is accomplished by mixing and matching the low-level feature analysis layers between different styles of paining, so a painting in one style is rendered in another with different kinds of brush works.

But can we do this for audio? Prateek Verma has been experimenting with this, and will talk about his work and results. What does audio style mean, and how does one capture it?

Who: Prateek Verma (Stanford CCRMA)
What: Audio Style Transformations using Deep Neural Networks

FREE Open to the Public

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