Monday 9/9 | Tuesday 10/9 | Wednesday 11/09 |
09.30 - 10.30 Keynote - Maya Ackerman | 09.30 - 11.30 Paper session 3 (chair: Kelsey Cotton): Art, Creativity and Education | |
10.30 - 12.30 Workshop 1 | 10.30 - 12.30 Paper Session 1 (chair Matthew Yee-King): Ethics, Culture and Society. | |
11.30 - 12.30 Demo session 2 (chair: Arne Eigenfeldt): | ||
12.30 - 13.30 Lunch | 12.30 - 13.30 Lunch | 12.30 - 13.30 Lunch |
13.30 - 15.30 Workshop 2 | 13.30 - 1500 Demo session 1 (chair: Victor Riley Shepardson): | 13.30 - 1500 Paper session 4 (chair: Filippo Carnovalini): Psychology and Emperical Aesthetics |
15.00 - 15.30 Break | 15.00 - 16.00 Keynote - Zubin Kanga | |
15.30 - 16.30 Break | 15.30 - 17.30 Paper Session 2 (chair: Robin Laney): Systems, sound and design | |
Break | ||
16.30 - 17.30 Opening Session: | 16.30 - 17.30 Demo session 3 (chair Artemi-Maria Gioti):
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Pizza dinner | Conference dinner | |
19.00 Concert 1: Wolfson College Auditorium Performers – David Zucchi (saxophones), David Palmer (piano), Toril Azzalini-Machecler and Max Heaton (percussion) | 19.30 Concert 2: DAH, Faculty of Music getting there. | 20.00 Concert 3: Common Ground, Oxford getting there. |
Ethics, Culture and Society
AI Music Studies: Preparing for the Flood
Navigating Challenges in Multimodal Music Data Management for AI Systems
Agonistic Dialogue on the Value of AI Music Applications
Stochastic Pirate Radio (KSPR): Generative AI applied to simulate commercial radio
Systems, sound and design
A listening agent for live control of synthesis parameters using reinforcement learning
A Deep Learning Framework for Musical Acoustics Simulations
Sparks of musical AGI? Challenges and perspectives in music co-creation with LLMs
Grammatical Structure and Grammatical Variations in Non-Metric Iranian Classical Music
Art, Creativity and Education
Large Audio AI Models for Fixed-Media Electronics in "Prelude: To Listening"
Learning to Learn: A Reflexive Case Study of PRiSM SampleRNN
Designing a gen-AI music course
Psychology and Emperical Aesthetics
Sentiment Analysis of AI Generated Music Using Latent Dirichlet Allocation (LDA)
The corpus’ body. Embodied Interaction from Machine-Learning in Human-Machine Improvisation.
TAM reveals AI negativity bias in VR music performances
Generating Mixcode Popular Songs with Artificial Intelligence: Concepts, Plans, and Speculations
Strategies for building AI-enhanced audio software with impact
Off-the-shelf: Improvising with a Minimal Intelligent Musical Instrument in Mixed Reality
Deep Steps: A Generative AI Step Sequencer
Phrase-Level Symbolic Music Generation
Ciung Wanara; Interactive Gestural Audiovisual Composition
Stravinsky’s Three Pieces for Solo Clarinet with Video Accompaniment
Flexible Melody Harmonization with Rhythmic Complexity based on Cognitive Music Theory
Jazz Guitar Voice-Leading Chord Fingerings With Long Short-Term Memory
Reviving Traditional Raga Music: An AI-Driven Approach for Melody Generation Using GPT-4
Performers – David Zucchi (saxophones), David Palmer (piano), Toril Azzalini-Machecler and Max Heaton (percussion).
getting there.
getting there.
Break me, ai - Mayank Sanganeria and Kurt James Werner
Transonic – Sonic Lightning - Nicola Leonard Hein, Viola Yip
Hand-on workshop on PRiSM's Music Gesture Recognition tool (10:30 - 3:30)
Mosaïque - Concatenative Synthesis Instrument for the Practicing Musicians (10:30 - 3:30)
Endless Generative AI: A Practical Tutorial (10:30-12:30)
Computer-Assisted Composition: Survey and hands-on with Calliope (13:30-15:30)