Marinos Koutsomichalis (Athens, 1981) is an artist and scholar working with sound and a wide range of other media. His artistic work interrogates the specifics of site, perception, technology, and material. His academic interests include computer programming, generative art, new aesthetics, and environmental sound and noise. He has widely performed, exhibited, and lectured internationally and has held residencies in miscellaneous research centers and institutions. He has an MA by research in composition with digital media by the University of York and, as of writing, he is a candidate PhD in Music, Sound, and Media Art at the De Montfort University. He is in the board of the Contemporary Music Research Center (KSYME-CMRC) and also the director of its class of Electronic Music and Sound Synthesis. As of writing, he is a research fellow in the University of Turin.

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.