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Center for Computer Research in Music and Acoustics

CCRMA Seeks Facilities Specialist

Happy late summer to all! The staff at CCRMA are *elated* to announce that we are searching for a new person to join our team. Please feel free to ask questions of any of us about the position.

Detailed job posting and application can be found here: https://careersearch.stanford.edu/jobs/facilities-specialist-1-on-site-2...

COVID Policies

See CCRMA's COVID policies for 2023.

CCRMA WAVE (Wall for AudioVisual Expression) presents

Victoria Shen: Latent Memories

January 9 - April 2 [EXTENDED]

Upcoming Events

Schallfeld

Date: 
Thu, 09/28/2023 - 7:30pm - 9:00pm
Location: 
Dinkelspiel Auditorium
Event Type: 
Concert
Schallfeld performs new works by Stanford graduate composers Tatiana Catanzaro, Kimia Koochakzadeh-Yazdi, Mike Mulshine, Seán Ó Dálaigh, and Julie Zhu.
 
FREE and Open to the Public 

Laura Gwilliams on Decoding the Semantics of Audio in the Brain

Date: 
Fri, 10/06/2023 - 10:30am - 12:00pm
Location: 
CCRMA Seminar Room
Event Type: 
Hearing Seminar
Prof. Laura Gwilliams has just arrived at Stanford and is doing some wonderful work on decoding the brain's response to semantic stimuli.  More details to follow.
FREE
Open to the Public

Josh McDermott (MIT) on Auditory Brain Models

Date: 
Thu, 10/12/2023 - 10:30am - 12:00pm
Location: 
CCRMA Seminar Room
Event Type: 
Hearing Seminar
 Special seminar on a Thursday morning.

Details to follow.
FREE
Open to the Public

Karlheinz Brandenberg - Spatial Sound - HRTFs vs. Room Reverb

Date: 
Fri, 10/20/2023 - 1:30pm - 3:00pm
Location: 
CCRMA Seminar Room
Event Type: 
Hearing Seminar
Are HTRFs or matching the room reverb more important for hearing spatial sound? Karlheinz Brandenburg and his colleagues will lead the discussion, illustrated with new data.

Note special time.
FREE
Open to the Public

Robotic Hearing Systems for Autonomous Vehicles

Date: 
Fri, 10/27/2023 - 10:30am - 12:00pm
Location: 
CCRMA Seminar Room
Event Type: 
Hearing Seminar
 Xuan Zhong will discuss the issues in building Robotic Hearing Systems for Autonomous Vehicles.

Details to follow.

FREE
Open to the Public
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Recent Events

Audiovisual Performance | Final Projects | Arts Intensive 2023

Date: 
Wed, 09/20/2023 - 7:30pm - 9:00pm
Location: 
CCRMA Stage / CCRMA LIVE
Event Type: 
Concert
The students in the Audiovisual Performance class have worked (hard!) on several projects that included relationships between sound and moving image, programming and physical interaction with audio and video material, as well as remixing audiovisual compositions and performing with their digital doppelgängers. We are very excited to present their final projects in this live audiovisual show, which will explore various concepts and aesthetics ranging from memory and nostalgia to the political and poetic uses of technology. 
 
FREE and Open to the Public  |  Livestream

UnStumm: Conversation of Moving Image and Sound | Arts Intensive

Date: 
Sat, 09/16/2023 - 7:30pm - 9:00pm
Location: 
CCRMA Stage / CCRMA LIVE
Event Type: 
Concert
The Stanford Arts Intensive program and CCRMA present UnStumm as part of the Audiovisual Performance class.

UnStumm – conversation of moving image and sound is a project for real-time film and music (Echtzeitfilm) for cross-disciplinary and cross cultural collaboration between video artists and musicians from Germany and other countries. It aims to create an environment of cultural and creative exchange, where a common complex artistic language is invented and used to communicate narratives, and textures, colliding, combining, and attracting worlds of sight and sound. Since 2016 UnStumm has performed in 12 countries worldwide. Collaborations have taken place with more than 65 live video artists, musicians, and dancers. In their performance, UnStumm will combine an in-situ performance with their Augmented Voyage app, making it a mixed reality performance. The audience will experience this performance in space, while using the app at the same time to follow UnStumm's movements between different layers of projection and reality.  

[CANCELLED!] TEMPO VS. PITCH: UNDERSTANDING SELF-SUPERVISED TEMPO ESTIMATION

Date: 
Fri, 08/25/2023 - 11:00am - 12:00pm
Location: 
Classroom
Event Type: 
Guest Lecture

Giovana Morais (NYU) joins us to talk about her recent ICASSP paper. ABSTRACT: Self-supervision methods learn representations by solving pretext tasks that do not require human-generated labels, alleviating the need for time-consuming annotations. These methods have been applied in computer vision, natural language processing, environ- mental sound analysis, and recently in music information retrieval, e.g. for pitch estimation. Particularly in the context of music, there are few insights about the fragility of these models regarding differ- ent distributions of data, and how they could be mitigated. In this paper, we explore these questions by dissecting a self-supervised model for pitch estimation adapted for tempo estimation via rigor- ous experimentation with synthetic data.

FREE
Open to the Public

Sound localization using a deep graph signal-processing model for acoustic imaging

Date: 
Wed, 08/23/2023 - 3:30pm - 4:30pm
Event Type: 
Guest Lecture
Adrian S. Roman (USC) joins us to discuss his ongoing project.

ABSTRACT:
Our research explores ways to leverage the architecture of DeepWave, originally used as an acoustic camera, to enable precise localization of sound sources. While DeepWave inherently generates spherical maps in the form of sound intensity fields, it has not been utilized for determining precise localization coordinates of sound sources.
FREE
Open to the Public
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Recent News

Turning brain waves into music helps spot seizures

The music is eerie, if not altogether aesthetically pleasing. Like a soundtrack moments before a film's horrifying twist, the sounds of the brain in a state of seizure betrays the plot with little more than a skin-prickling crescendo.
 
This music, the electrical activity of the seizing brain translated to sound, is a merger of art and medicine, the work of Stanford's Dr. Josef Parvizi, an epilepsy specialist, and Chris Chafe, a composer and music researcher. 

Tricking the brain

Most interns don’t deliberately try to deceive executives at their employer’s company, but Dolby intern Jimmy Tobin was asked to do just that.
 
For a reception following a day of meetings for the company’s 90 top leaders, Tobin, a student of symbolic systems at Stanford University, and fellow interns working in the Science Group with Senior Staff Scientist Poppy Crum were asked to create a series of demonstrations of perceptual illusions.

Find My Way: Holly Herndon, James Ferraro, Oneohtrix Point Never

Stanford scientists build a 'brain stethoscope' to turn seizures into music

When Chris Chafe and Josef Parvizi began transforming recordings of brain activity into music, they did so with artistic aspirations. The professors soon realized, though, that the work could lead to a powerful biofeedback tool for identifying brain patterns associated with seizures. Read more here...

The Stanford Ph.D Student Making Human Music with a Laptop

When it comes to music-making, laptops get a bad rap. They're cold, impersonal, inexpressive, and can't summon the warmth of traditional acoustic instruments. Or at least that's one way to look at it. Experimental musician Holly Herndon disagrees — and has spent much of her career exploring the expressive potential of the machines that are now an inseparable part of modern life. Read more here...
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Fall Courses at CCRMA

Music 101 Introduction to Creating Electronic Sounds
Music 192A Foundations in Sound Recording Technology
Music 201 CCRMA Colloquium
Music 220A Foundations of Computer-Generated Sound
Music 223A Composing Electronic Sound Poetry
Music 256A Music, Computing, and Design I: Software Paradigms for Computer Music
Music 319 Research Seminar on Computational Models of Sound Perception
Music 320 Introduction to Audio Signal Processing
Music 351A Research Seminar in Music Perception and Cognition I
Music 423 Graduate Research in Music Technology
Music 451A Auditory EEG Research I

 

 

 

   

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Department of Music
Stanford University
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