Artificial Intelligence in Music, Sound, Art and Design

.- Long Talks.

.- Yin-Yang: Developing Motifs With Long-Term Structure And Controllability.

.- Foundations of LLCM: Labelled Lambek Calculus for Music Analysis.

.- Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting.

.- Cellular Au-Tonnetz: A Unified Audio-Visual MIDI Generator Using
Tonnetz, Cellular Automata, and IoT.

.- The Importance of Context in Image Generation: A Case Study for
Video Game Sprites.

.- Perceptions of AI in Animation Production.

.- Search-based Negative Prompt Optimisation for Text-to-Image Generation.

.- Exploring the Application of AIGC in Ink-Wash Animation Creation:
A Case Study of Dragon Gate.

.- AI in Music and Healthcare: A Comparative Survey.

.- Combining local search and directed mutation in evolutionary
approaches to 4-part harmony.

.- Exploiting the Temporal Order of Sound Features for Onset Detection.

.- Towards Human-Quality Drum Accompaniment Using Deep Generative
Models and Transformers.

.- An Ensemble Approach to Music Source Separation: A Comparative
Analysis of Conventional and Hierarchical Stem Separation.

.- Balancing Indeterminacy and Structure: Neural Text Generation for
Artistic Inspiration.

.- Exploring Bridges Between Algorithmic and AI-generated Art.

.- Future Sight: Fine-tuning Language Models for Dynamic Story Generation.

.- Short Talks.

.- All YIN No YANG: Geometric abstraction of oil paintings with trained
models, noise and self-reference.

.- Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art.

.- Aesthetic biases and opacity tactics in the training of visual artificial
intelligence models.

.- Music Similarity Through Geometric Overlap.

.- Graph Neural Network vs Feature-based Folk Music Evolution Analysis.

.- Generating Virtual Landscapes and Environmental Narratives with
StyleGAN2.

.- EmotioNotes Dataset: Decoding emotions in classical music through
Concert Program Notes.

.- Towards the Automatic Evaluation of Legibility for Graphic Design
Posters.

.- Short video interestingness: a machine learning approach to determine
creative cues in audiovisual production.

.- Automated Selection and Ordering of Clip Sequences for Music Videos
based on Tonal Tension and Visual Features.

.- Evolving the Embedding Space of Diffusion Models in the Field of
Visual Arts.

.- Steering Large Text-to-Image Model for Kandinsky Synthesis through
Preference-based Prompt Optimization.