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E-grāmata: Artificial Intelligence in Music, Sound, Art and Design: 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, Proceedings

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Artificial Intelligence in Music, Sound, Art and Design: 10th International Conference, EvoMUSART 2021, Held as Part of EvoStar 2021, Virtual Event, April 7-9, 2021, ProceedingsPalielināt
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This book constitutes the refereed proceedings of the 10th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2021, held as part of Evo* 2021, as Virtual Event, in April 2021, co-located with the Evo* 2021 events, EvoCOP, EvoApplications, and EuroGP. 
The 24 revised full papers and 7 short papers presented in this book were carefully reviewed and selected from 66 submissions. They cover a wide range of topics and application areas, including generative approaches to music and visual art, deep learning, and architecture.

Sculpture Inspired Musical Composition, One Possible Approach.- Network
Bending: Expressive Manipulation of Deep Generative Models.- SyVMO:
Synchronous Variable Markov Oracle for Modeling and Predicting Multi-Part
Musical Structures.- Identification of Pure Painting Pigment Using Machine
Learning Algorithms.- Evolving Neural Style Transfer Blends.- Evolving Image
Enhancement Pipelines.- Genre Recognition from Symbolic Music with CNNs.-
Axial Generation: A Concretism-Inspired Method for Synthesizing Highly Varied
Artworks.- Interactive, Efficient and Creative Image Generation Using
Compositional Pattern-Producing Networks.- Aesthetic Evaluation of Cellular
Automata Configurations Using Spatial Complexity and Kolmogorov Complexity.-
Auralization of Three-Dimensional Cellular Automata.- Chord Embeddings:
Analyzing What They Capture and Their Role for Next Chord Prediction and
Artist Attribute Prediction.- Convolutional Generative Adversarial Network,
via Transfer Learning, for Traditional Scottish Music Generation.- The Enigma
of Complexity.- SerumRNN: Step by Step Audio VST Effect Programming.-
Parameter Tuning for Wavelet-Based Sound Event Detection Using Neural
Networks.- Raga Recognition in Indian Classical Music Using Deep Learning.-
The Simulated Emergence of Chord Function.- Incremental Evolution of Stylized
Images.- Dissecting Neural Networks Filter Responses for Artistic Style
Transfer.- A Fusion of Deep and Shallow Learning to Predict Genres Based on
Instrument and Timbre Features.- A Multi-Objective Evolutionary Approach to
Identify Relevant Audio Features for Music Segmentation.- Exploring the
Effect of Sampling Strategy on Movement Generation with Generative Neural
Networks.- "A Good Algorithm Does Not Steal - It Imitates": The Originality
Report as a Means of Measuring when a Music Generation Algorithm Copies too
Much.- From Music to Image - A Computational Creativity Approach.- What is
human? A Turing Test for Artistic Creativity.- Mixed-InitiativeLevel Design
with RL Brush.- Creating a Digital Mirror of Creative Practice.- An
Application for Evolutionary Music Composition Using Autoencoders.- A Swarm
Grammar-Based Approach to Virtual World Generation.- Co-Creative Drawing with
One-Shot Generative Models.
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