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ORCIDAIMC 2025, Brussels, Belgium
- Proceedings of the 6th AI Music Creativity Conference (AIMC 2025), Brussels, Belgium, September 10-12, 2025. 2025
- Israel Neuman:
Beat-Flow-Interplay (BFI): Interactive Tools for Responsive Beat-Flow Production. - Xinyue Hu, Bob L. T. Sturm:
Assessing the Alignment of Valence and Arousal between Text Prompts and the Resulting AI-Generated Music. - Sebastian Murgul, Michael Heizmann:
Exploring Procedural Data Generation for Automatic Acoustic Guitar Fingerpicking Transcription. - Ge Liu, Keon Ju M. Lee, Miles Thorogood, Christopher Anderson, Philippe Pasquier:
AI-assisted Sound Design with Audio Metaphor (AuMe): An Evaluation with Novice Sound Designers. - Vincenzo Madaghiele, Stefano Fasciani, Tejaswinee Kelkar, Çagri Erdem:
MAAL: a multi-agent autonomous live looper for improvised co-creation of musical structures. - Elizabeth Wilson, Anna Wszeborowska
, Nick Bryan-Kinns:
A Short Review of Responsible AI Music Generation. - Yiren Zhao, Elin Kanhov, Bob L. T. Sturm:
Methodological Considerations of Digital Ethnographic Studies in the AI Music Field. - Nicolas Jonason, Luca Casini, Bob L. T. Sturm:
SMART: Tuning a symbolic music generation system with an audio domain aesthetic reward. - Benjamin Saldías, Denis Parra, Marcelo Mendoza, Rodrigo F. Cádiz:
Generative Variational Autoenconder model of musical scales based on Slominsky’s thesaurus. - Agustín Macaya, Denis Parra, Rodrigo F. Cádiz:
Unsupervised generative chord representation learning and its effect on novelty-creativity and fidelity-standards. - Matthew Peachey, Sageev Oore, Joseph Malloch:
Evaluating Low-Dimensional Latent Representations as a Creative Interface for Digital Synthesizers. - Andrea Martelloni, Chris Kiefer:
Towards an Ecosystem of Instruments of Tunable Machine Learning. - Olivier Anoufa, Alexandre D'Hooge, Ken Déguernel:
Conditional Generation of Bass Guitar Tablature for Guitar Accompaniment in Western Popular Music. - Ted Moore:
Learned Navigation of StyleGAN3 Latent Space from Audio Descriptors. - Riccardo Ancona:
Ontologies of Sound in Neural Network Engineering. - Fabian Ostermann, Jonas Kramer, Günter Rudolph:
Using Large Language Models as Fitness Functions in Evolutionary Algorithms for Music Generation. - Alexandre Saunier, Federico Visi, Maurice Jones:
Large Language Models to generate sonic behaviors: the case of Wilding AI in exploring creative co-agency. - Guilherme Coelho:
The Artist Is Present: Traces of Artists Residing and Spawning in Text-to-Audio AI. - Guilherme Coelho:
AI in Music and Sound: Pedagogical Reflections, Post-Structuralist Approaches, and Creative Outcomes in Seminar Practice. - Balthazar Bujard, Jérôme Nika, Nicolas Obin, Frédéric Bevilacqua:
Learning Relationships Between Separate Audio Tracks for Creative Applications. - Eric Browne:
The Shape of Surprise: Structured Uncertainty and Co-Creativity in AI Music Tools. - Sri Hanuraga, Stevie J. Sutanto:
Jazz in the Age of Algorithmic Alienation: AI as a Catalyst for Critical Improvisation. - Blazej Kotowski, Nicholas Evans, Behzad Haki, Frederic Font, Sergi Jordà:
Exploring Situated Stabilities of a Rhythm Generation System Through Variational Cross-Examination. - Jérôme Nika, Diemo Schwarz, Augustin Müller:
Crafting Musical Agents: Interactive Generation as a Catalyst for Artistic Formalization. - Adam Stefunko, Suhit Chiruthapudi, Jan Hajic jr., Carlos Eduardo Cancino-Chacón:
Basso Continuo Goes Digital: Collecting and Aligning a Symbolic Dataset of Continuo Performance. - Ashley Noel-Hirst, Charalampos Saitis, Nick Bryan-Kinns:
Sampling the Latent Space: Exploring the Creative Potential of Generative AI Through the Lens of Sample-Based Music Making. - Dominic Thibault, David Piazza, Mimi Allard, Mathieu Arseneault, Gaël Moriceau:
Navigating Abstract Timbre Spaces: Instrumental Affordances of Concatenative Synthesis in Mosaïque. - Juan Parra Cancino, Jonathan Impett:
Deviations in Forking Paths: Mapping Nonlinear Agencies in Live Electronic Improvisation. - Mingyang Yao, Ke Chen:
From Generality to Mastery: Composer-Style Symbolic Music Generation via Large-Scale Pre-training. - Maximos Kaliakatsos-Papakostas, Konstantinos Soiledis, Konstantinos-Theodoros Tsamis, Dimos Makris, Vassilis Katsouros, Emilios Cambouropoulos:
Incorporating Structure and Chord Constraints in Symbolic Transformer-based Melodic Harmonization. - Fábio Maria Pereira, Matthew Yee-King, Jenn Kirby:
Entangled Voices: AI, Intra-action, and the Body Multiple in Creative Practice. - Evan O'Donnell, Patrick Hartono:
A Practice-Based Methodology for Capturing Embodied Gesture-Rhythm Relations in Small Datasets. - Gabriel Levine, Drew Thurlow, Jon Arfa, Sarah Ita Levitan:
HuBERT Ensemble Models for Singing Voice Deepfake Detection. - Zachary Cooper:
She’s Lost Control Again: The Next Generation Of Copyright Challenges Over Next-Generation Interactive Music. - Renaud Bougueng Tchemeube, Philippe Pasquier:
Building Calliope and Apollo: Engineer-Designer Reflections on Computer-Assisted Composition Systems. - Simon Colton, Louis Bradshaw, Berker Banar, Keshav Bhandari, Aikaterini Primenta:
Composer as Constrainer in Model-Led Piano Sheet Music Generation. - Tak-ai Lam, Wing-fung Lo, Chuck-jee Chau:
Automated Pop-to-A Cappella Score Generation. - Michael Oehler, Benedict Saurbier, Jan Schepmann:
Assessing Expectancy Bias in Listener Evaluations of AI and Human Music Compositions. - Anuradha Chopra, Abhinaba Roy, Dorien Herremans:
SonicVerse: Multi-Task Learning for Music Feature-Informed Captioning.
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last updated on 2025-11-16 23:48 CET by the dblp team
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