Artificial Intelligence in Music, Sound, Art and Design

This book constitutes the refereed proceedings of the 12th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2023, held as part of Evo* 2023, in April 2023, co-located with the Evo* 2023 events, EvoCOP, EvoApplications, and EuroGP.

The 20 full papers and 7 short papers presented in this book were carefully reviewed and selected from 55 submissions. They cover a wide range of topics and application areas of artificial intelligence, including generative approaches to music and visual art, deep learning, and architecture.

Inhalt

Long Talks .- LooperGP: A Loopable Sequence Model for Live Coding Performance using GuitarPro Tablature.- Chordal embeddings based on topology of the tonal space.- Music Generation with Multiple Ant Colonies Interacting on Multilayer Graphs.- Automatically Adding to Artistic Cultures.- Extending Generative Neo-Riemannian Theory for Event-based Soundtrack Production.- Is beauty in the age of the beholder.- Extending the Visual Arts experience: Sonifying Paintings with AI.- Application of Neural Architecture Search to Instrument Recognition in Polyphonic Audio.- AI-rmonies of the Spheres.- SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencoders.- SketchSynth: cross-modal control of sound synthesis.- Towards the Evolution of Prompts with MetaPrompter.- Is Writing Prompts Really Making Art.- Using GPT-3 to achieve semantically relevant data sonificiation for an art installation.- Using Autoencoders to Generate Skeleton-based Typography.- Visual Representationof the Internet Consumption in the European Union.- GTR-CTRL: Instrument and Genre Conditioning for Guitar-Focused Music Generation with Transformers.- Artistic Curve Steganography Carried by Musical Audio.- LyricJam Sonic: A Generative System for Real-Time Composition and Musical Improvisation.- Searching For Human Bias Against AI-Composed Music.- Short Talks .- Fabric Sketch Augmentation & Styling via Deep Learning & Image Synthesis.- Transposition of Simple Waveforms from Raw Audio with Deep Learning.- AI-aided Ceramic Sculptures: Bridging Deep Learning with Materiality.- OSC-Qasm: Interfacing Music Software with Quantum Computing.- EvoDesigner: Aiding the exploration of innovative graphic design solutions.- Improving Automatic Music Genre Classification Systems by Using Descriptive Statistical Features of Audio Signals.- Musical Genre Recognition based on Deep Descriptors of Harmony, Instrumentation, and Segments.