Artificial Intelligence in Music, Sound, Art and Design: 10th International Conference, Evomusart 2021, Held as Part of Evostar 2021, Virtual Event, A

ISBN-13: 9783030729134 / Angielski / Miękka / 2021 / 492 str.

Juan Romero; Tiago Martins; Nereida Rodr?guez-Fern?ndez

Spis treści

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-Initiative Level 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.