Intro
Preface
Organization
Contents
Long Talks
SonOpt: Sonifying Bi-objective Population-Based Optimization Algorithms
1 Introduction
2 Related Work
3 Methodology and System Overview
4 Experimental Study
4.1 Experimental Setup
4.2 Experimental Analysis
5 Conclusion and Future Work
References
A Systematic Evaluation of GPT-2-Based Music Generation
1 Introduction
2 Background
2.1 GPT-2 Models
2.2 Representing Music Data for GPT-2 Input
2.3 Statistical Analysis of Generative Music Models
3 Musical Metrics
4 Dataset Curation

5 Evaluating Generative Model Output
5.1 Varying the Training Level
5.2 Varying the Training Corpus
6 Web Application
7 Conclusions and Future Work
References
Expressive Aliens
Laban Effort Factors for Non-anthropomorphic Morphologies
1 Introduction
2 Background
2.1 Movement Qualities
2.2 Motion Synthesis
2.3 Anthropomorphic versus Non-anthropomorphic Characters
2.4 Physical Validity versus Expressivity
3 Implementation
3.1 Morphologies
3.2 SAC Algorithm
3.3 Observation Vector
3.4 Rewards
4 Training
5 Results
6 Discussion

7 Conclusion and Outlook
References
Painting with Evolutionary Algorithms
1 Introduction
2 Rearranging Brush Strokes
3 Algorithms
4 Experiment and Results
5 Extrapolation
6 Some Final Remarks
References
Evolutionary Construction of Stories that Combine Several Plot Lines
1 Introduction
2 Related Work
2.1 Plot Line Combination
2.2 Computational Metrics for Stories
2.3 Evolutionary Construction of Narratives
3 An Evolutionary Multiplot Story Composer
3.1 The Knowledge Resources
3.2 Character Fusion and Discourse Planning

3.3 Representing Multiplot Stories for Evolutionary Construction
3.4 Constructing an Initial Population
3.5 Evolutionary Operators
3.6 Fitness Functions
4 Discussion
4.1 Results
4.2 Relation with Previous Work
5 Conclusions
References
Fashion Style Generation: Evolutionary Search with Gaussian Mixture Models in the Latent Space
1 Introduction
2 Related Work
2.1 GANs
2.2 Fashion Styles
2.3 Evolutionary Search of GANs' Latent Space
3 Dataset
4 Model
4.1 Generative Model
4.2 Style Model
4.3 Evolutionary Search
5 Results
6 Discussion

7 Conclusion and Future Work
References
Classification of Guitar Effects and Extraction of Their Parameter Settings from Instrument Mixes Using Convolutional Neural Networks
1 Introduction
2 Method and Materials
2.1 Dataset for Guitar Effect Parameter Extraction
2.2 Dataset for Guitar Effect Classification
2.3 Time-Frequency Representations
2.4 Convolutional Neural Networks
2.5 Training and Evaluation
2.6 Baseline
2.7 Robustness Analysis
3 Results
3.1 Effect Classification
3.2 Effect Parameter Extraction
3.3 Robustness to Noise and Pitch Shifts