Guest Lectures
Occasionally, courses offered at CCRMA will bring in a guest lecturer. Often times, those lectures are open, not only to CCRMA students, staff, faculty and researchers, but also to the public. Such events are listed below.
Recent Guest Lectures
CCRMA Open House Keynote with Yann Orlarey - Faust: the Roots of Evil
Date:Fri, 03/02/2018 - 1:30pm - 2:20pmLocation:CCRMA StageEvent Type:Guest Lecture
From Yann -FREEOpen to the PublicDemixing and Remixing Music with Deep Learning
Date:Fri, 11/10/2017 - 5:00pm - 6:20pmEvent Type:Guest LectureFREEOpen to the PublicGenerative Models for Music and Art
Date:Thu, 10/26/2017 - 6:00pm - 7:20pmLocation:CCRMA Classroom [Knoll 217]Event Type:Guest LectureAbstract: Doug Eck will discuss Magenta, a Google Brain project investigating music and art generation using deep learning and reinforcement learning. The goals of Magenta and how it fits into the general trend of AI moving into our daily lives will be described. One crucial question is: Where does AI and Machine Learning fit in the creative process? The speaker argues that generative models are the core tools to import from machine learning, and introduces concepts from generative models such as autoencoders, recurrent neural networks, variational methods, generative adversarial networks (GANs) and different sampling methods.
FREEFor CCRMA Users OnlySounds in Remembered Spaces
Date:Tue, 06/20/2017 - 1:00pm - 2:00pmLocation:CCRMA StageEvent Type:Guest LectureFREEOpen to the PublicMusic, Environment, Multimedia Theater and the Silk Road: Recent Research at Shanghai Conservatory of Music
Date:Thu, 04/27/2017 - 5:30pm - 7:00pmLocation:CCRMA ClassroomEvent Type:Guest Lecture
Dai Weiyi : The Construction of "Audio Visual Field" in Multimedia Music Theater.
The lecture will center on the concept of “audio visual field” to describe structural thinking and use of the audio-visual elements in the multimedia music theater.FREEOpen to the PublicMargareta Ackerman: Algorithmic Songwriting
Date:Thu, 04/13/2017 - 5:30pm - 6:30pmLocation:CCRMA Classroom, Knoll 217Event Type:Guest LectureAbstract: Songwriting, the art of combining melodies and lyrics, poses new challenges to algorithmic composition. ALYSIA is a machine-learning system that learns the relationship between melodies and lyrics, and uses the resulting model to create new songs in the style of the corpus. While ALYSIA creates melodies for user-provided lyrics, another system, MABLE, creates computer generated lyrics that convey a coherent story. In addition to discussing both systems, an original song co-created by ALYSIA and music professor Joshua Palkki will be performed.
Joint work with David Loker, Chris Cassion, Rafael Perez y Perez, and Divya Singh.FREEOpen to the PublicHow to Mash Up Music: Lecture, Demo, and Workshop
Date:Wed, 04/12/2017 - 1:00pm - 4:00pmLocation:CCRMA StageEvent Type:Guest LectureHow to Mash Up Music: Lecture, Demo and Workshop by Paul D. Miller (DJ Spooky)
Topic: Tools, motivations and techniques to create mashups in audio, video and code
Preparation: Bring the files of 5 audio tracks or video clips that you would like to mix together, in stem format (wav, mp3, quicktime etc.)
Action: Rock it.Open to the PublicRyan Groves - Building Artificially Intelligent Musical Composers - CCRMA Open House 2017 Keynote
Date:Fri, 03/03/2017 - 1:30pm - 2:20pmLocation:CCRMA StageEvent Type:Guest LectureFREEOpen to the PublicConsumer Neuroscience of Music: Applied Research at Nielsen
Date:Thu, 12/08/2016 - 5:00pm - Thu, 12/15/2016 - 6:00pmLocation:CCRMA (660 Lomita dr) seminar room (third floor)Event Type:Guest LectureAbstract:
Nielsen Consumer Neuroscience uses measures of neurophysiology to develop insights into consumer experience and behavior. This presentation will provide an overview of those measures, test-retest reliability, validation to in-market sales, and how Nielsen scales neuroscience globally for work with multinational companies. Research at Nielsen provides further evidence that music, in particular, significantly affects advertising performance by influencing emotional engagement and memory activation, and by triggering semantic associations. Case study examples will demonstrate these effects and how consumer neuroscience methods are applied in practice.
FREEOpen to the PublicKurt James Werner's Dissertation Defense: Virtual Analog Modeling Using Wave Digital Filters
Date:Thu, 11/10/2016 - 3:30pm - 5:30pmLocation:CCRMA StageEvent Type:Guest LectureJimi Hendrix. Keith Emerson. Wendy Carlos. Jeff Mills. The Beastie Boys. Aphex Twin. What do these artists have in common? Their signature sounds feature vintage audio circuits including fuzz boxes, Moog synths, analog drum machines, etc.
In this dissertation defense, Kurt James Werner will present theoretical contributions to topological and nonlinear aspects of Wave Digital Filter theory, advancing the state of the art of virtual analog circuit modeling of classic audio gear. Throughout, the legendary bass drum circuit from the TR-808 Rhythm Composer will serve as a case study, demonstrating the theoretical advances in action.
(don't worry, we've patched in the gigantic QSC subwoofer)Offical abstract follows.
FREEOpen to the Public