Numerical data is essentially arbitrary, having no explicit signification on its own unless we somehow contextualize them. For instance, consider the cardiac arrhythmia data that we downloaded in the previous chapter; we know that they are related to somebody's heart because we were told so; else there would be no way to tell for ourselves merely by probing them. By means of visualizing or sonifying data, we are explicitly controlling the specifics of its (re) contextualization, and hence, we need to be aware that it is largely upon our particular stratagem that data is granted meaningful. In this section, we will demonstrate how we can implement data-driven audiovisual systems.
Mapping and Visualization with SuperCollider
By :
Mapping and Visualization with SuperCollider
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Overview of this book
SuperCollider is an environment and programming language used by musicians, scientists, and artists who work with audio-files SuperCollider has built-in graphical features which are used in conjunction with the sound synthesis server to create audio-visual mapping and sound visualization. If you wish to create data visualizations by acquiring data from audio and visual sources, then this book is for you.Digital sound artists need to analyze, manipulate, map, and visualize data when working on a scientific or an artistic project. As an artist, this book, by means of its numerous code examples will provide you with the necessary knowledge of SuperCollider's practical applications, so that you can extract meaningful information from audio-files and master its visualization techniques. This book will help you to prototype and implement sophisticated visualizers, sonifiers, and complex mappings of your data.This book takes a closer look at SuperCollider features such as plotting and metering functionality to dispel the mysterious aura surrounding the more advanced mappings and animation strategies. This book also takes you through a number of examples that help you to create intelligent mapping and visualization systems. Throughout the course of the book, you will synthesize and optimize waveforms and spectra for scoping as well as extract information from an audio signal. The later sections of the book focus on advanced topics such as emulating physical forces, designing kinematic structures, and using neural networks to enable you to develop a visualization that has a natural motion with structures that respect anatomy and which come with an intelligent encoding mechanism. This book will teach you everything you need to work with intelligent audio-visual systems to extract and visualize audio-visual data.
Table of Contents (16 chapters)
Mapping and Visualization with SuperCollider
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Scoping, Plotting, and Metering
Waveform Synthesis
Synthesizing Spectra
Vector Graphics
Animation
Data Acquisition and Mapping
Advanced Visualizers
Intelligent Encodings and Automata
Design Patterns and Methodologies
Index
Customer Reviews