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
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 
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 
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 
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 
Details to follow.
FREE
Open to the Public
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 
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.
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 
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.
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.
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...
