Center for Computer Research in Music and Acoustics
Upcoming Events
Koubeh
Date:
Sat, 11/16/2024 - 7:30pm - 9:00pm
Location:
CCRMA Stage
Event Type:
Concert Koubeh is a New York-based band that mixes Iranian melodies with a fusion of global beats and original riffs.
FREE
Open to the Public
Foreign/Domestic
Date:
Thu, 11/21/2024 - 7:30pm - 9:30pm
Location:
CCRMA Stage / CCRMA LIVE
Event Type:
Concert CCRMA presents a live performance by Foreign/Domestic.
FREE and Open to the Public | In Person + Livestream
Recent Events
Lobe Concert: Goodbye Sam & Nolan!
Date:
Sat, 08/31/2024 - 7:30pm - 9:00pm
Location:
CCRMA Stage / CCRMA LIVE
Event Type:
Concert Join Lobe for some groovy modern jazz originals (including the Beatles and Studio Ghibli... kind of?) as they say goodbye to Sam and Nolan!
Lobe is Ethan Buck, Sam Silverstein, Nolan Miranda, Daiki Nakajima, Michael Hayes, and Mark Rau in spirit
Tech: Sami Wurm
FREE and Open to the Public | In Person + Livestream
Lobe is Ethan Buck, Sam Silverstein, Nolan Miranda, Daiki Nakajima, Michael Hayes, and Mark Rau in spirit
Tech: Sami Wurm
FREE and Open to the Public | In Person + Livestream
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
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?
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
FREE
Open to the Public
Past Live Streamed Events
Recent News
Behind the Scenes at the Stanford Laptop Orchestra
Really nice article about our very own SLOrk!
THX and Dr. James A. Moorer in the NYTimes
Dr. James A. Moorer updates the THX sound from 30-70 voices, to futher adapt to the advancing spatialization capabilites of theaters.
Read the full article here!
http://artsbeat.blogs.nytimes.com/2015/04/17/as-thx-gets-a-new-trailer-an-interview-with-its-composer/?hpw&rref=movies&action=click&pgtype=Homepage&module=well-region®ion=bottom-well&WT.nav=bottom-well
Read the full article here!
http://artsbeat.blogs.nytimes.com/2015/04/17/as-thx-gets-a-new-trailer-an-interview-with-its-composer/?hpw&rref=movies&action=click&pgtype=Homepage&module=well-region®ion=bottom-well&WT.nav=bottom-well
How a University Launched the Electronic Music Revolution
Article about CCRMA and Andrew Nelson's book featured recently on MetroNews:
Stanford and the Computer Music Revolution
The Father of the Digital Synthesizer
Interesting article about our own John Chowining on pricenomics.com. Enjoy!