04950nam a22005895i 4500001001800000003000900018005001700027007001500044008004100059020003700100024003500137050001700172072001600189072002300205072001500228245027200243250001800515264006900533300006600602336002600668337002600694338003600720347002400756490005900780505199000839520059202829650002903421650002903450650003203479650002303511650005403534650002103588650003403609650002903643650002903672650004103701650004603742650002103788700008403809700008803893700008203981710003404063773002604097776003604123776003604159830005904195856004604254912001404300912001504314912001404329999001704343978-3-031-56992-0DE-He21320251030111751.0cr nn 008mamaa240325s2024    sz |    s    |||| 0|eng d  a97830315699209978-3-031-56992-07 a10.1007/978-3-031-56992-02doi 4aQA75.5-76.95 7aUYA2bicssc 7aCOM0140002bisacsh 7aUYA2thema10aArtificial Intelligence in Music, Sound, Art and Designh[electronic resource] :b13th International Conference, EvoMUSART 2024, Held as Part of EvoStar 2024, Aberystwyth, UK, April 3–5, 2024, Proceedings /cedited by Colin Johnson, Sérgio M. Rebelo, Iria Santos.  a1st ed. 2024. 1aCham :bSpringer Nature Switzerland :bImprint: Springer,c2024.  aXI, 420 p. 160 illus., 126 illus. in color.bonline resource.  atextbtxt2rdacontent  acomputerbc2rdamedia  aonline resourcebcr2rdacarrier  atext filebPDF2rda1 aLecture Notes in Computer Science,x1611-3349 ;v146330 aThe Forest: Towards Emergent Collaborative Art Through Human Swarming -- Evoboard: Geoboard-inspired Evolved Typefonts -- Motifs, Phrases, and Beyond: The Modelling of Structure in Symbolic Music Generation -- The Chordinator: Modeling Music Harmony By Implementing Transformer Networks and Token Strategies -- Deep Learning Approaches for Sung Vowel Classification -- Investigating the viability of Masked Language Modeling for symbolic music generation in abc-notation -- MoodLoopGP: Generating Emotion-Conditioned Loop Tablature Music with Multi-Granular Features -- Weighted Initialisation of Evolutionary Instrument and Pitch Detection in Polyphonic Music -- Modelling individual aesthetic preferences of 3D sculptures -- Adaptation and Optimization of AugmentedNet for Roman Numeral Analysis Applied to Audio Signals -- Generating Smooth Mood-Dynamic Playlists with Audio Features and KNN -- Pruning Worlds into Stories: Affective Interactions as Fitness Function -- Collaborative Interactive Evolution of Art in the Latent Space of Deep Generative Models -- Towards Sound Innovation Engines Using Pattern-Producing Networks and Audio Graphs -- Co-creative orchestration of Angeles with layer scores and orchestration plans -- Evolving User Interfaces: A Neuroevolution Approach for Natural Human-Machine Interaction -- Evolving Visually-Diverse Graphic Design Posters -- No Longer Trending on Artstation: Prompt Analysis of Generative AI Art -- AI-Driven Meditation: Personalization for Inner Peace -- On the impact of directed mutation applied to Evolutionary 4-part harmony models -- Evaluation Metrics for Automated Typographic Poster Generation -- Enough is Enough: Learning to Stop in Generative Systems -- Generating emotional music based on improved C-RNN-GAN -- Building an Embodied Musicking Dataset for co-creative music-making -- PatternPortrait: Draw Me Like One of Your Scribbles -- MAP-Elites with Transverse Assessment for Multimodal Problems in Creative Domains.  aThis 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. . 0aComputer science.958552 0aMachine learning.955059 0aEducationxData processing. 0aSignal processing. 0aInformation storage and retrieval systems.965568 0aComputer vision.14aTheory of Computation.96755224aMachine Learning.95505924aComputers and Education.24aSignal, Speech and Image Processing.24aInformation Storage and Retrieval.96557024aComputer Vision.1 aJohnson, Colin.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9741951 aRebelo, Sérgio M.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9741961 aSantos, Iria.eeditor.4edt4http://id.loc.gov/vocabulary/relators/edt9741972 aSpringerLink (Online service)0 tSpringer Nature eBook08iPrinted edition:z978303156991308iPrinted edition:z9783031569937 0aLecture Notes in Computer Science,x1611-3349 ;v1463340uhttps://doi.org/10.1007/978-3-031-56992-0  aZDB-2-SCS  aZDB-2-SXCS  aZDB-2-LNC  c58741d58741