AIMC 2023
Oded Ben-Tal and David Dolan. Musical and Meta-Musical Conversations
Ezra Pierce, Victor Shepardson, Jack Armitage, and Thor Magnusson. Bela-IREE: An Approach to Embedded Machine Learning for Real-Time Music Interaction
Georgios Diapoulis. Liveness and machine listening in musical live coding: A conceptual framework for designing agent-based systems
Damian Dziwis. Revisiting Reynolds - Autonomous Agents for Spatial Audiovisual Composition and Performances
Kelsey Cotton and Kıvanç Tatar. Caring Trouble and Musical AI: Considerations towards a Feminist Musical AI
Laura Cros Vila and Bob L. T. Sturm. Statistical evaluation of abc-formatted music at the levels of items and corpora
Roisin Loughran. Risks and Opportunities from Artificial Creativity
Jorge Forero, Gilberto Bernardes, and Mónica Mendes. Are words enough? On the semantic conditioning of affective music generation
Koray Tahiroğlu, Shenran Wang, Eduard Mihai Tampu, and Jackie Lin. Deep Learning with Audio: An Explorative Syllabus for Music Composition and Production
Sihwa Park. YouTube Mirror: An Interactive Audiovisual Installation based on Cross-Modal Generative Modeling
Philon Nguyen and Eldad Tsabary. The Phenomenology of Deconstructivist Aesthetics in Music: An Autoethnography of Errors, Erasures, Permutations, Discontinuities, Paradoxes and Artificial Intelligences
Robert Laidlow. Silicon for Orchestra and Artificial Intelligence
Lucy Strauss and Matthew Yee-King. Extensible Embodied Knowledge: Bridging Performance Practice and Intelligent Performance System Design
Maziar Kanani, Sean O’Leary, and James McDermott. Parsing Musical Structureto Enable Meaningful Variations
Craig Vear, Steve Benford, Juan Martinez Avila, and Solomiya Moroz. Human-AI Musicking: A Framework for Designing AI for Music Co-creativity
Oliver Bown. Music AI’s Potential Impact: Scoping the terms of the debate about value
Behzad Haki, Julian Lenz, and Sergi Jorda. NeuralMidiFx: A Wrapper Template for Deploying Neural Networks as VST3 Plugins
Bob L. T. Sturm. The Ai Music Generation Challenge 2022: Summary and Results
Torin Hopkins, Alvin Jude, Greg Phillips, and Ellen Yi-Luen Do. Virtual AI Jam: AI-Driven Virtual Musicians for Human-in-the-Loop Musical Improvisation
Nádia Carvalho and Gilberto Bernardes. Exploring Latent Spaces of Tonal Music using Variational Autoencoders
Vishwaas Narasinh and Senthil Raja. Sequential Pitch Distributions for Raga Detection
Thor Magnusson. The A in AIMC
Alexandros Drymonitis. [neuralnet]: A Pure Data External for the Creation of Neural Networks Written in Pure C