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
Tristan Peng's Piano Recital
Date:
Fri, 11/15/2024 - 7:30pm - 9:00pm
Location:
CCRMA Stage
Event Type:
Concert 
Recital Program
- Prokofiev Piano Sonata No. 3, Op. 28
- Bach Toccata in E Minor, BWV 914
- Chopin Nocturnes Op. 48
- Ravel Miroirs
FREE
Open to the Public
Juhan Nam, "My Journey Toward Musically Intelligent Machines"
Date:
Fri, 11/15/2024 - 3:30pm - 5:00pm
Location:
CCRMA Classroom [Knoll 217] (ZOOM Link Below)
Event Type:
Guest Lecture 
Creating intelligent machines that can listen to, play, and even making music has been a longstanding human ambition. Recent advancements in AI, especially through deep learning, have brought us closer to realizing this vision. In this talk, I will share my personal journey in developing musically intelligent machines, beginning with my PhD research on music representation learning during the early days of deep learning, and continuing with my collaborative work with students over the past decade at KAIST. Key topics will include bridging music audio with language, human-AI music ensemble performances, and neural audio processing.
Open to the Public
Concepts and Control: Understanding Creativity in Deep Music Generation
Date:
Fri, 11/15/2024 - 2:30pm - 3:30pm
Location:
CCRMA Classroom [Knoll 217] (ZOOM Link Below)
Event Type:
DSP Seminar 
Abstract: Recently, generative AI has achieved impressive results in music generation. Yet, the challenge remains: how can these models be meaningfully applied in real-world music creation, for both professional and amateur musicians? We argue that what’s missing is an interpretable generative architecture—one that captures music concepts and their relations, which can be so finely nuanced that they defy straightforward description. In this talk, I will explore various approaches to creating such an architecture, demonstrating how it enhances control and interaction in music generation.
FREE
Open to the Public
Nat Condit-Schultz on Tempo, Tactus, Rhythm, Flow: Computational Hip Hop Musicology in Theory and Practice
Date:
Fri, 11/15/2024 - 10:30am - 12:00pm
Location:
CCRMA Seminar Room
Event Type:
Hearing Seminar 
Computational musicology is not just for classical music. In this talk, I will review a variety of computational investigations of hip hop based on my dataset, the Musical Corpus of Flow (MCFlow). Using MCFlow, we can characterize the "norms" of rap flow and investigate how they have changed historically, including changes in tempo and the density of rhyme over time. I will also discuss the methodological challenges of computational musicology in general, and hip-hop/pop musicology specifically, and demonstrate tools and methods I have developed.
FREE
Open to the Public
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Past Live Streamed Events
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...
