Artificial Intelligence in Music, Sound, Art and Design

14th International Conference, EvoMUSART 2025, Held as Part of EvoStar 2025, Trieste, Italy, April 23–25, 2025, Proceedings

AvPenousal Machado,Colin Johnson

Häftad, Engelska, 2025

Del 15611 i serien Lecture Notes in Computer Science

874 kr

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Beskrivning

This book constitutes the refereed proceedings of the 14th International Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2025, held as part of EvoStar 2025, in Trieste, Itlay, during April 23–25, 2024.The 28 full papers presented in this book were carefully reviewed and selected from 52 submissions. They present a broad selection of topics and applications, including systems that create music, art, and design.

Produktinformation

Utgivningsdatum:2025-04-23
Mått:155 x 235 x 25 mm
Vikt:674 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:436
Förlag:Springer International Publishing AG
ISBN:9783031901669
Originaltitel:Artificial Intelligence in Music, Sound, Art and Design

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Innehållsförteckning

.- 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 UsingTonnetz, Cellular Automata, and IoT..- The Importance of Context in Image Generation: A Case Study forVideo 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 evolutionaryapproaches to 4-part harmony..- Exploiting the Temporal Order of Sound Features for Onset Detection..- Towards Human-Quality Drum Accompaniment Using Deep GenerativeModels and Transformers..- An Ensemble Approach to Music Source Separation: A ComparativeAnalysis of Conventional and Hierarchical Stem Separation..- Balancing Indeterminacy and Structure: Neural Text Generation forArtistic 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 trainedmodels, noise and self-reference..- Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art..- Aesthetic biases and opacity tactics in the training of visual artificialintelligence models..- Music Similarity Through Geometric Overlap..- Graph Neural Network vs Feature-based Folk Music Evolution Analysis..- Generating Virtual Landscapes and Environmental Narratives withStyleGAN2..- EmotioNotes Dataset: Decoding emotions in classical music throughConcert Program Notes..- Towards the Automatic Evaluation of Legibility for Graphic DesignPosters..- Short video interestingness: a machine learning approach to determinecreative cues in audiovisual production..- Automated Selection and Ordering of Clip Sequences for Music Videosbased on Tonal Tension and Visual Features..- Evolving the Embedding Space of Diffusion Models in the Field ofVisual Arts..- Steering Large Text-to-Image Model for Kandinsky Synthesis throughPreference-based Prompt Optimization.