Artificial intelligence in music, sound, art and design: 12th International Conference, EvoMUSART 2023, held as part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings
Colin Johnson, Nereida Rodríguez-Fernández, Sérgio M. Rebelo, editors
- Resource Type:
- E-Book
- Publication:
- Cham : Springer, 2023
- Related Series:
More Details
- Summary:
- 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.
- Table of Contents:
- 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 Representation of 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.
- Contributors:
- Johnson, Colin (Computer scientist) , editorRodríguez-Fernández, Nereida , editorRebelo, Sérgio M. , editor
- Meetings:
- Languages:
- English
- Language Notes:
- Item content: English
- Related Series:
- Subjects:
- General Notes:
- Includes author index.
Description based on: Online resource; title from PDF title page (SpringerLink, viewed April 4, 2023). - Physical Description:
- 1 online resource (xi, 430 pages) : illustrations (some color).
- Digital Characteristics:
- text file
- Call Numbers:
- QA76.618 .A785 2023eb
- ISBNs:
- 9783031299568 (electronic bk.)
3031299566 (electronic bk.)
9783031299551 [Invalid] - Other Standard Numbers:
- Digital Object Identifier: 10.1007/978-3-031-29956-8
- OCLC Numbers:
- 1374876044