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Center for Computer Research in Music and Acoustics

CCRMA Summer Workshops

Summer 2024 Workshops: CCRMA Summer Workshops Announced! There are a wide variety of offerings, some in person, some on line, and some hybrid. Have a look! More will be announced as they're organized, so check back with us frequently!
[Check out the schedule] [Register for workshops]

There will be opportunities for financial assistance for some workshops - check specific pages for more details.

CCRMA WAVE (Wall for AudioVisual Expression) presents

CCRMA's 2024 MA/MST Cohort: In Coherence

Upcoming Events

Purnima Kamath on Generative Models for Sound Design

Date: 
Fri, 09/13/2024 - 10:30am - 12:00pm
Location: 
CCRMA Seminar Room
Event Type: 
Hearing Seminar
 Designing Interactive Generative Models for Sound Design


Sound design involves creatively using sounds to build cinematic experiences for films and games. While most AI models support novel sound generation, they need to be trained on large, semantically well-labeled datasets and often lack support for creative pursuits such as audio morphing.
FREE
Open to the Public
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Recent Events

Demo of Personalized 3d Sound System

Date: 
Fri, 08/16/2024 - 12:00pm - 6:00pm
Location: 
DoubleTree Hotel, 275 South Airport Blvd, South San Francisco, California
Event Type: 
Hearing Seminar
How do we reproduce personalized 3D sound? Karlheinz Brandenburg (one of the authors of the MP3 standard) argues that a generic HRTF (head-related transfer function) is sufficient as long as you simulate the room reverb.  This is a rather bold statement, because the standard answer says that getting the correct HRTF is most important.  Do we need to match the room or the pinnae?
FREE
Open to the Public

Leslie Famularo on Differentiating and Optimizing an Auditory Model

Date: 
Fri, 08/09/2024 - 12:00am - 12:00pm
Location: 
CCRMA Seminar Room
Event Type: 
Hearing Seminar
One of the shortcomings of current AI work is the inability to tie the results back to known physics. This is useful both to help explain the results, but also to constrain the optimal solution to known physical properties of the system. Neural networks are hard. They are big, often times the result is inscruttable. What can be done?

New software paradigms such as JAX and PyTorch allow one to specify arbitrary computations in a way that can be differentiated. And if we can differentiate a function we can optimize it. Hurray. How can we express an auditory model in a differentiable fashion?
FREE
Open to the Public

4D Audio-Visual Learning: A Visual Perspective of Sound Propagation and Production

Date: 
Thu, 08/01/2024 - 3:00pm - 4:00pm
Location: 
CCRMA Classroom
Event Type: 
Guest Lecture
Changan Chen (Stanford) joins us to discuss his research.
FREE
Open to the Public

Dynamical mechanisms of how an RNN keeps a beat, uncovered with a low-dimensional reduced model

Date: 
Wed, 07/31/2024 - 3:00pm - 4:00pm
Location: 
CCRMA Classroom
Event Type: 
Guest Lecture
Klavdia Zemlianova (Columbia) joins us to discuss her research.
FREE
Open to the Public
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Past Live Streamed Events

CCRMA Vimeo Channel

Recent News

David Braun & Ge Wang discuss Faust and ChucK with TouchDesigner

derivative.ca/event/touchdesigner-insession-180-david-braun-ge-wang/65762

DEG Presents Hedy Lamarr Award to Dolby Laboratories’ Chief Scientist Poppy Crum

 

Poppy Crum Joins Advisory Board for Engineering & Technology Magazine's Innovation Awards

Congratulations to Poppy Crum for joing the Advisory Board for the Engineering & Technology Magazine's Innovation Awards! Check out the interview here, in which she discusses her path from a professional violinist to her position today as a neuroscientist and technologist.

JackTrip: Syncing performances online, Stanford News



"Stanford-developed software enables musicians isolated by the coronavirus pandemic to jam together again in real-time ... A longstanding software program for online music playing has been optimized for slower, home-based internet connections."

https://news.stanford.edu/2020/09/18/jacktrip-software-allows-musicians-sync-performances-online/

By Adam Hadhazy

The Curious Composer: Jonathan Berger

A Q & A with Jonathan Berger is featured in the September/October edition of Psychology Today. Check out the article in the PDF attached. Congratulations, Jonathan!
File Attachment: 
application/pdf iconJBergerInterview
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Spring Quarter 2024

Music 101 Introduction to Creating Electronic Sounds
Music 128 Stanford Laptop Orchestra (SLOrk)
Music 155/255 (ARTSTUDI 239) Intermedia Workshop
Music 220C Research Seminar in Computer-Generated Music
Music 222A Quantum Computer Music
Music 228 SVOrk (Stanford Virtual Reality Orchestra)
Music 250A Physical Interaction Design for Music 
Music 254 Computational Music Analysis
Music 257 Neuroplasticity and Musical Gaming
Music 319 Research Seminar on Computational Models of Sound Perception
Music 320C Audio DSP Projects in Faust and C++
Music 423 Graduate Research in Music Technology

 

 

 

   

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