default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCID4th AIMC 2023, Sussex, UK
- Proceedings of the 4th AI Music Creativity Conference (AIMC 2023), Sussex, UK, August 31 - September 1, 2023. 2023
- Oded Ben-Tal, David Dolan:
Musical and Meta-Musical Conversations. - Ezra Pierce, Victor Shepardson, Jack Armitage, 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, Kivanç Tatar:
Caring Trouble and Musical AI: Considerations towards a Feminist Musical AI. - Laura Cros Vila, Bob L. T. Sturm:
Statistical evaluation of abc-formatted music at the levels of items and corpora. - Róisín Loughran:
Risks and Opportunities from Artificial Creativity. - Jorge Forero, Gilberto Bernardes, Mónica Mendes:
Are words enough? On the semantic conditioning of affective music generation. - Koray Tahiroglu, Shenran Wang, Eduard Mihai Tampu, 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, 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, Matthew Yee-King:
Extensible Embodied Knowledge: Bridging Performance Practice and Intelligent Performance System Design. - Maziar Kanani, Sean O'Leary, James McDermott:
Parsing Musical Structureto Enable Meaningful Variations. - Craig Vear, Steve Benford, Juan Pablo Martinez-Avila, 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, Sergi Jordà:
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, Ellen Yi-Luen Do:
Virtual AI Jam: AI-Driven Virtual Musicians for Human-in-the-Loop Musical Improvisation. - Nádia Carvalho, Gilberto Bernardes:
Exploring Latent Spaces of Tonal Music using Variational Autoencoders. - Vishwaas Narasinh, Senthil Raja G:
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.
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-10-12 22:04 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
