Description
This book constitutes the refereed proceedings of the 15th International Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2026, held as part of EvoStar 2026, in Toulouse, France, during April 8-10, 2026.
The 13 full papers together with 15 short papers presented in this book were carefully reviewed and selected from 58 submissions.
The EvoMUSART 2026 cover a wide range of topics and application areas, including generative approaches to music, visual art and design. There is a growing interest in the application of these techniques in fields such as visual art and music generation, analysis and interpretation; sound synthesis; architecture; video; poetry; design; and other creative tasks.
.- Long Talks
.- Addressing Dataset Scarcity in Music Emotion Recognition with LLMs.
.- Digital Artists Perceptions of Generative AI in South Asia: Insights from the South Asian Digital Arts Archive (SADA).
.- Algorithms for Collaborative Harmonization.
.- Asmpaytsia: An Afrocentric Framework for Computational Creativity in Sound and Image.
.- The Art That Poses Back: Assessing AI Pastiches after Contemporary Artworks.
.- Generative Musical Exploration of Astronomical Catalogs.
.- Generative Artificial Intelligence in Music: Towards an Aesthetics of Co-Creation.
.- A Dataset for Automatic Vocal Mode Classification.
.- A Novel Diffusion Model Based Approach for Sleep Music Generation.
.- Prompt and Circumstances: Evaluating the Efficacy of Human Prompt Inference in AI-Generated Art.
.- Fluid Body: An Adaptive Embodied Sonification System for Cross-Cultural Performance.
.- EvoLiveDJ: A LLM-Based Agentic Framework for Interactive Evolutionary Live Music Performance.
.- AI Co-Artist: A LLM-Powered Framework for Interactive GLSL Shader Animation Evolution.
.- Short Talks
.- Music in the Age of Artificial Intelligence: Meaning and Creativity from a Complex-Systems Perspective.
.- Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali.
.- Crystallizing Semantics: Mapping the Journey of Word Meaning in Language Models.
.- Probing for Advanced Music Theory Concepts in Generative Music Models.
.- End-to-End Song Structure Segmentation via Encoder Decoder Network Architecture and Hand-Crafted Features.
.- Life Beings: Living Quantum Art.
.- Segmentation-Free Sound Hybridization for Creative Outcomes.
.- Quantum Latent Spaces for Symbolic Music Generation.
.- Weather Sonification via a Latent Emotion Space: A Deep Learning Approach.
.- Classifying Audio Timbre Without Audio Using Text-Only Training.
.- Decoding Emotions: Multimodal Integration of Deep Embeddings, Lyrics and Music-Aware Cues.
.- Mapping Artificial Neural Networks Processing Data in Audiovisual Artworks.
.- LoopMatcher: Proof-of-Concept for AI-Assisted Music Loop Search.
.- Multi-Objective Evolution of Diffusion Model Prompt Embeddings Using CLIP-IQA.
.- EvoArtist: A Visual LLM-Driven Agentic AI Framework for Autonomous Design Evolution.
