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Artificial Intelligence in Music, Sound, Art and Design

13th International Conference, EvoMUSART 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Colin Johnson

    1. University of Nottingham, Nottingham, UK

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  2. Sérgio M. Rebelo

    1. University of Coimbra, Coimbra, Portugal

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  3. Iria Santos

    1. University of Coruña, Coruña, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14633)

Included in the following conference series:

Conference proceedings info: EvoMUSART 2024.

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Table of contents (26 papers)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. The Forest: Towards Emergent Collaborative Art Through Human Swarming

    • Razanne Abu-Aisheh, Khulud Alharthi, Tom Didiot-Cook, Henry Hickson, Suet Lee, Mickey Li et al.
    Pages 1-16

  3. Evoboard: Geoboard-Inspired Evolved Typefonts

    • João Eduardo Batista, Fraser Garrow, Carlo Huesca-Spairani, Tiago Martins
    Pages 17-32

  4. Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generation

    • Keshav Bhandari, Simon Colton
    Pages 33-51

  5. The Chordinator: Modeling Music Harmony by Implementing Transformer Networks and Token Strategies

    • David Dalmazzo, Ken Déguernel, Bob L. T. Sturm
    Pages 52-66

  6. Deep Learning Approaches for Sung Vowel Classification

    • Parker Carlson, Patrick J. Donnelly
    Pages 67-83

  7. Investigating the Viability of Masked Language Modeling for Symbolic Music Generation in abc-notation

    • Luca Casini, Nicolas Jonason, Bob L. T. Sturm
    Pages 84-96

  8. MoodLoopGP: Generating Emotion-Conditioned Loop Tablature Music with Multi-granular Features

    • Wenqian Cui, Pedro Sarmento, Mathieu Barthet
    Pages 97-113

  9. Weighted Initialisation of Evolutionary Instrument and Pitch Detection in Polyphonic Music

    • Justin Dettmer, Igor Vatolkin, Tobias Glasmachers
    Pages 114-129

  10. Modelling Individual Aesthetic Preferences of 3D Sculptures

    • Edward Easton, Ulysses Bernardet, Anikó Ekárt
    Pages 130-145

  11. Adaptation and Optimization of AugmentedNet for Roman Numeral Analysis Applied to Audio Signals

    • Leonard Fricke, Mark Gotham, Fabian Ostermann, Igor Vatolkin
    Pages 146-161

  12. Generating Smooth Mood-Dynamic Playlists with Audio Features and KNN

    • Shaurya Gaur, Patrick J. Donnelly
    Pages 162-178

  13. Pruning Worlds into Stories: Affective Interactions as Fitness Function

    • Pablo Gervás, Gonzalo Méndez
    Pages 179-193

  14. Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models

    • Ole Hall, Anil Yaman
    Pages 194-210

  15. Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs

    • Björn Þór Jónsson, Çağrı Erdem, Stefano Fasciani, Kyrre Glette
    Pages 211-227

  16. Co-creative Orchestration of Angeles with Layer Scores and Orchestration Plans

    • Francesco Maccarini, Mael Oudin, Mathieu Giraud, Florence Levé
    Pages 228-245

  17. Evolving User Interfaces: A Neuroevolution Approach for Natural Human-Machine Interaction

    • João Macedo, Habtom Kahsay Gidey, Karina Brotto Rebuli, Penousal Machado
    Pages 246-264

  18. Evolving Visually-Diverse Graphic Design Posters

    • João Macedo, Daniel Lopes, João Correia, Penousal Machado, Ernesto Costa
    Pages 265-278

  19. No Longer Trending on Artstation: Prompt Analysis of Generative AI Art

    • Jon McCormack, Maria Teresa Llano, Stephen James Krol, Nina Rajcic
    Pages 279-295

  20. AI-Driven Meditation: Personalization for Inner Peace

    • Peter Nguyen, Javier Fdez, Olaf Witkowski
    Pages 296-310
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About this book

This book constitutes the refereed proceedings of the 13th International Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2024, held as part of EvoStar 2024, in Aberystwyth, UK, April 3–5, 2024.

The 17 full papers and 8 short papers presented in this book were carefully reviewed and selected from 55 submissions. The main purpose of this conference proceedings was to bring together practitioners who are using Artificial Intelligence techniques for artistic tasks, providing the opportunity to promote, present, and discuss ongoing work in the area. 

Editors and Affiliations

  • University of Nottingham, Nottingham, UK

    Colin Johnson

  • University of Coimbra, Coimbra, Portugal

    Sérgio M. Rebelo

  • University of Coruña, Coruña, Spain

    Iria Santos

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