The renowned Berklee College of Music in Boston, Massachusetts is set to host the 2024 AES Symposium on AI and the Musician from June 6-8
Everything you need to know: ✓ Berklee’s 2024 AES Symposium will explore the cutting-edge applications of AI in music creation and education
✓ The event features keynotes, panels, technical sessions and demos with leading experts and innovators
✓ Key topics include AI tools for music, IP issues, ethics, and preparing the next generation of AI-enabled musicians
Organized by the Audio Engineering Society (AES), the world’s preeminent professional organization for audio technology, the symposium aims to provide a comprehensive forum for discussing the impact and applications of AI in music creation and education . Attendees can expect cutting-edge insights into the latest developments in AI-enabled tools and techniques that are reshaping the music landscape.
5 reasons to hop in the AI music Delorean at Berklee’s 2024 AES Symposium
It’s time to travel to the future of music at the 2024 AES Symposium on AI and the Musician, hosted by the renowned Berklee College of Music. This event is your Delorean ride into how AI is changing the way we create music.
Don’t miss out, here are 5 can’t-miss reasons to attend:
Reason 1 – Explore how AI can boost creativity in music and discover the future of music creation today. Learn from experts like Tod Machover in his keynote “AI for Musical Discovery.”
Reason 2 – Navigate the legal and ethical aspects of AI-generated music with Damien Riehl’s session “AI, Copyright, and Creativity.” Stay informed and responsible in this new landscape.
Reason 3 – Uncover the secrets of collaborating with AI to make music in Anna Huang’s keynote “AI for Musicians.” Learn how to use AI models to enhance your creativity, just like future musicians will.
Reason 4 – See how the next generation of AI-enabled musicians is being trained in the panel “Educating the Next Generation of AI-Enabled Musicians.” Discover the innovative teaching methods shaping the future of music.
Reason 5 – Experience the stunning combination of XR (extended reality) and AI in music during Max Graf and Mathieu Barthet’s talk “When XR Meets AI.” Immerse yourself in the future of interactive, AI-powered musical experiences.
2024 AES Symposium on AI & the Musician – Full program details
Click here to view the entire program:
Thursday, June 6, 2024
6:00pm – 8:00pm EDT
Event Name: Welcome ReceptionSpeakers: David Bogen, Jonathan WynerWhy You Should Attend: Opening remarks and social event to kick off the conference.Location: Multi Purpose Room
Friday, June 7, 2024
9:00am – 9:30am EDT
Event Name: Composer-centric AI Augmented Music GenerationSpeakers: Katarzyna Sochaczewska (AGH UST / LifeScore Music), Tom GruberWhy You Should Attend: Learn how AI-powered audio engines are reshaping music creation and audience engagement.Location: Multi Purpose Room
9:30am – 10:00am EDT
Event Name: Computer Vision as a Musical InstrumentSpeakers: David CardonaWhy You Should Attend: Discover how computer vision can be used for innovative musical expression and digital instrument design.Location: Multi Purpose Room
10:00am – 10:45am EDT
Event Name: Keynote: AI for Musical DiscoverySpeakers: Tod Machover (MIT Media Lab)Why You Should Attend: Explore the potential of generative AI in expanding musical horizons and nurturing creativity.Location: Multi Purpose Room
11:00am – 12:30pm EDT
Event Name: Educating the Next Generation of AI-Enabled MusiciansSpeakers: Akito van Troyer (Associate Professor, Berklee College of Music), Carlos Arana, Jonathan Wyner, Devin ArneWhy You Should Attend: Gain insights into integrating AI into music education and preparing students for the future of music.Location: Multi Purpose Room
12:30pm – 1:15pm EDT
Event Name: DemosWhy You Should Attend: See demonstrations of various technologies relevant to AI and music.Location: Room 1W
1:15pm – 2:15pm EDT
Event Name: LunchLocation: Berklee Cafe
2:30pm – 3:15pm EDT
Event Name: Deep Learning-based Audio Representations for the Analysis and Visualisation of Electronic Dance Music DJ MixesSpeakers: Alexander Williams (PhD Student, AI and Music, Queen Mary University of London), Haokun Tian, Stefan Lattner (Research Leader, Music Team, Sony Computer Science Labs), Mathieu Barthet, Charalampos Saitis (Queen Mary University of London)Why You Should Attend: Learn about using deep learning for analyzing and visualizing DJ mixes and EDM tracks.Location: Multi Purpose Room
2:30pm – 3:15pm EDT
Event Name: Operational Latent SpacesSpeakers: Scott Hawley (Professor / Technical Fellow, Belmont University / Harmonai.org (Stability AI))Why You Should Attend: Understand self-supervised learning for creating interpretable latent spaces in music production.Location: Multi Purpose Room
2:30pm – 3:15pm EDT
Event Name: PCVAE: Refining Pitch Accuracy in Generative Audio SynthesisSpeaker: Cameron OlsonWhy You Should Attend: Discover advancements in pitch reconstruction capabilities for out-of-distribution data, a critical challenge in audio synthesis.Location: Multi Purpose Room
3:30pm – 4:15pm EDT
Event Name: How Will Generative AI Reshape Music?Speakers: Mark Cartwirght, Shahan Nercessian, Paul Lehrman, Damon Krakowski, J.T. Colonel, Prince Charles AlexanderWhy You Should Attend: Explore the transformative impact of generative AI on music creation and consumption.Location: Multi Purpose Room
4:30pm – 5:00pm EDT
Event Name: Harmonizing AI with Equity and Inclusion in Music EducationSpeakers: Mike Testa (Associate Professor/Music Technology Program Coordinator, Salem State University)Why You Should Attend: Discuss the potential of AI to advance fairness and inclusivity in music education.Location: Multi Purpose Room
5:00pm – 5:30pm EDT
Event Name: Artist-First Ethics in AI AudioSpeakers: Kyle BillingsWhy You Should Attend: Learn about ethical considerations in AI audio from an artist-first perspective.Location: Multi Purpose Room
7:30pm – 8:45pm EDT
Event Name: Musical PerformancePerformer: Rachel Devorah Wood RomeWhy You Should Attend: Enjoy a performance featuring improvisation with bespoke electronics and French horn.Location: Multi Purpose Room
Saturday, June 8, 2024
9:30am – 10:15am EDT
Event Name: Generative, Interactive Compositional Techniques for Sonic Art with HARP and VampNetSpeaker: Bryan Pardo (Professor at Northwestern University)Why You Should Attend: Learn about tools and techniques for composing sonic art using generative models. There will be a tutorial on using HARP and VampNet models in a DAW workflow.Location: Multi Purpose Room
10:30am – 11:15am EDT
Event Name: Keynote: AI for MusiciansSpeaker: Anna Huang (Creator of MusicTransformer Magenta GoogleBrain and DeepMind/ MIT)Why You Should Attend: Discuss how to leverage generative models to support human creative processes in music composition and performance synthesis.Location: Multi Purpose Room
11:30am – 12:00pm EDT
Event Name: AI, Copyright, and Creativity: How Making All The Music by Brute Force Raises LLM QuestionsSpeaker: Damien Riehl (VP, Solutions Champion at vLex)Why You Should Attend: Examine the copyright and creativity implications of machine-generated music.Location: Multi Purpose Room
12:00pm – 12:30pm EDT
Event Name: AI and CopyrightSpeaker: Emily Tait (Intellectual Property Partner at Jones Day law firm)Why You Should Attend: Overview of current litigation and legislation around AI and copyright.Location: Multi Purpose Room
12:30pm – 1:15pm EDT
Event Name: Generative AI for Novel Audio Content CreationSpeaker: Shahan NercessianWhy You Should Attend: Highlight core technologies enabling novel audio content creation for music production.Location: Multi Purpose Room
1:15pm – 2:15pm EDT
Event Name: LunchLocation: Berklee Cafe
2:30pm – 3:30pm EDT
Event Name: Advancing AI in Music Composition: Refining the Generative Music Overpainting TaskSpeakers: Eleanor Row, György FazekasWhy You Should Attend: This session presents a refined approach to the generative music “overpainting” task, which aims to develop AI-driven music composition tools that enhance composers’ creative freedom and artistic integrity by generating variations on musical segments rather than entire pieces.Location: Multi Purpose Room
2:30pm – 3:30pm EDT
Event Name: Unsupervised Lead Sheet Generation via Semantic CompressionSpeakers: Taylor Berg-Kirkpatrick (UC San Diego), Julian McAuley (UC San Diego), Zachary Novack (Researcher), Nikita Srivatsan (Researcher)Why You Should Attend: Discover new directions for generating higher quality lead sheets and improving music arrangement systems using an unsupervised compression approach.Location: Multi Purpose Room
2:30pm – 3:30pm EDT
Event Name: When XR Meets AI: Integrating Interactive Machine Learning with an XR Musical InstrumentSpeakers: Max Graf (PhD Student), Mathieu BarthetWhy You Should Attend: Learn about integrating machine learning with XR musical instruments for innovative music creation.Location: Multi Purpose Room
3:30pm – 4:15pm EDT
Event Name: Two Perspectives on AI: Education and SongwritingSpeakers: Ben Camp, Mark Simos (Associate Professor, Berklee College of Music)Why You Should Attend: Explore using AI in creative work and its relationship to music education.Location: Multi Purpose Room
4:30pm – 5:45pm EDT
Event Name: AI, Electronic Music, and Creativity: Exploring the Future of Electronic Production and DesignSpeakers: Ryan Page, Rachel Rome (Musician), Timo PreeceWhy You Should Attend: Discuss how AI is transforming music production, instruments, sound design and related creative fields.Location: Multi Purpose Room
6:00pm – 8:00pm EDT
Event Name: Wrap Up Networking EventWhy You Should Attend: Social event to wrap up the conference.Location: Multi Purpose Room
The two-day program technical sessions, keynote speeches, panel discussions, presentations, and hands-on demonstrations . Prominent speakers include Tod Machover, delivering a keynote on “AI for Musical Discovery”, and Anna Huang, presenting on “AI for Musicians”.
Other highlights include sessions on AI-augmented music generation, computer vision as a musical instrument, educating the next generation of AI-enabled musicians, and the role of AI in electronic music production.
A key focus of the symposium will be addressing the critical issues and challenges surrounding AI in music. This includes intellectual property rights in the AI era, the evolving creative economy, effective methods for introducing AI to non-technical users, and the vital importance of artist-first ethics in AI audio research and development . Experts like Damien Riehl and Emily Tait will tackle the complex topics of AI, copyright, and creativity.
The event also emphasizes the need to harmonize AI with equity and inclusion in music education. Mike Testa will present on this crucial subject, highlighting the importance of ensuring that the benefits of AI are accessible to all aspiring musicians, regardless of background.
Hosted at the esteemed Berklee College of Music, a global leader in contemporary music education, the 2024 AES Symposium on AI and the Musician promises to be an unmissable event for anyone interested in the future of music and technology. As AI continues to reshape the musical landscape, this symposium will provide a vital platform for shaping the direction of this exciting field.
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