Artificial Intelligence in Music, Sound, Art and Design
Springer International Publishing (Verlag)
978-3-030-43858-6 (ISBN)
This book constitutes the refereed proceedings of the 9th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2020, held as part of Evo*2020, in Seville, Spain, in April 2020, co-located with the Evo*2020 events EuroGP, EvoCOP and EvoApplications.
The 15 revised full papers presented were carefully reviewed and selected from 31 submissions. The papers cover a wide spectrum of topics and application areas, including generative approaches to music and visual art, deep learning, and architecture.
A deep learning neural network for classifying good and bad photos.- Adapting and Enhancing Evolutionary Art for Casual Creation.- Comparing Fuzzy Rule Based Approaches for Music Genre Classification.- Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles.- Emerging Technology System Evolution.- Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition.- Genetic Reverb: Synthesizing Artificial Reverberant Fields Via Genetic Algorithms.- Portraits of No One: An Interactive Installation.- Understanding Aesthetic Evaluation with Deep Learning.- An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture.- Objective Evaluation of Tonal Fitness for Chord Progressions.- Coevolving Artistic Images Using OMNIREP.- Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music.- Controlling Self-Organization in Generative Creative Systems.- Emulation Games. See and Be Seen, a Subjective Approach to Analog Computational Neuroscience.
| Erscheinungsdatum | 11.04.2020 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
| Zusatzinfo | XII, 227 p. 114 illus., 86 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 373 g |
| Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
| Schlagworte | acoustic signal processing • Applications • Artificial Intelligence • audio acoustics • Computer Networks • computer programming • Computer Science • Computer systems • computer vision • conference proceedings • Engineering • evolutionary algorithms • Genetic algorithms • Human-Computer Interaction (HCI) • Image Analysis • Image Processing • Image Quality • Informatics • Internet • machine learning • Mathematics • pattern recognition • Research • Signal Processing • User Interfaces |
| ISBN-10 | 3-030-43858-9 / 3030438589 |
| ISBN-13 | 978-3-030-43858-6 / 9783030438586 |
| Zustand | Neuware |
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