Artificial intelligence in music, so...
EvoMUSART (Conference) (2021 :)

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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 : proceedings /
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Artificial intelligence in music, sound, art and design/ edited by Juan Romero, Tiago Martins, Nereida Rodriguez-Fernandez.
    其他題名: 10th International Conference, EvoMUSART 2021, held as part of EvoStar 2021, Virtual Event, April 7-9, 2021 : proceedings /
    其他題名: EvoMUSART 2021
    其他作者: Romero, Juan.
    團體作者: EvoMUSART (Conference)
    出版者: Cham :Springer International Publishing : : 2021.,
    面頁冊數: xiii, 492 p. :ill., digital ;24 cm.
    內容註: 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.
    Contained By: Springer Nature eBook
    標題: Evolutionary programming (Computer science) - Congresses. -
    電子資源: https://doi.org/10.1007/978-3-030-72914-1
    ISBN: 9783030729141
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W9400811 電子資源 11.線上閱覽_V 電子書 EB QA76.618 .E86 2021 一般使用(Normal) 在架 0
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