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Artificial Intelligence in Music, Sound, Art and Design

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Cover of 'Artificial Intelligence in Music, Sound, Art and Design'

Table of Contents

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    Book Overview
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    Chapter 1 A Deep Learning Neural Network for Classifying Good and Bad Photos
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    Chapter 2 Adapting and Enhancing Evolutionary Art for Casual Creation
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    Chapter 3 Comparing Fuzzy Rule Based Approaches for Music Genre Classification
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    Chapter 4 Quantum Zentanglement: Combining Picbreeder and Wave Function Collapse to Create Zentangles®
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    Chapter 5 Emerging Technology System Evolution
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    Chapter 6 Fusion of Hilbert-Huang Transform and Deep Convolutional Neural Network for Predominant Musical Instruments Recognition
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    Chapter 7 Genetic Reverb: Synthesizing Artificial Reverberant Fields via Genetic Algorithms
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    Chapter 8 Portraits of No One: An Interactive Installation
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    Chapter 9 Understanding Aesthetic Evaluation Using Deep Learning
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    Chapter 10 An Aesthetic-Based Fitness Measure and a Framework for Guidance of Evolutionary Design in Architecture
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    Chapter 11 Objective Evaluation of Tonal Fitness for Chord Progressions Using the Tonal Interval Space
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    Chapter 12 Coevolving Artistic Images Using OMNIREP
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    Chapter 13 Sound Cells in Genetic Improvisation: An Evolutionary Model for Improvised Music
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    Chapter 14 Controlling Self-organization in Generative Creative Systems
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    Chapter 15 Emulation Games
Attention for Chapter 3: Comparing Fuzzy Rule Based Approaches for Music Genre Classification
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