Guide to Unconventional Computing for Music

ISBN-13: 9783319498805 / Angielski / Twarda / 2017 / 284 str.

Eduardo Reck Miranda

Opis

This pioneering text/reference explores how innovative new modes of computation may provide exciting new directions for future developments in the music industry, guiding the reader through the latest research in this emerging, interdisciplinary field. This work includes coverage of electronic music compositions and performances that incorporate unconventional interfacing, hacking and circuit bending. Features: presents an introduction to unconventional computing in music; discusses initiatives involving biophysical electronic music, the work of self-styled silicon luthiers, and the intersection of music and quantum computing; introduces the memristor, a new electronic component with the potential to revolutionize how computers are built; reviews experiments and practical applications of biological memristors in music; describes IMUSIC, an unconventional tone-based programming language, which enables the programming of computers using musical phrases; includes review questions at the end of each chapter.

Spis treści

Introduction to Unconventional Computing
Susan Stepney

On Unconventional Computing for Sound and Music
Eduardo R. Miranda, Alexis Kirke, Edward Braund, and Aurélien Antoine

On Biophysical Music
Marco Donnarumma

The Transgressive Practices of Silicon Luthiers
Ezra Teboul

Experiments in Sound and Music Quantum Computing
Alexis Kirke and Eduardo R. Miranda

Memristor in a Nutshell
Martin A. Trefzer

Physarum Inspired Audio: From Oscillatory Sonification to Memristor Music
Ella Gale, Oliver Matthews, Jeff Jones, Richard Mayne, Georgios Sirakoulis, and Andrew Adamatzky

An Approach to Building Musical Bioprocessors with Physarum polycephalum Memristors
Edward Braund and Eduardo R. Miranda

Towards a Musical Programming Language
Alexis Kirke

O autorze

Prof. Eduardo Reck Miranda is a composer and Professor in Computer Music at Plymouth University, UK, where he is Director of the Interdisciplinary Centre for Computer Music Research (ICCMR). His previous publications include the Springer titles Guide to Brain-Computer Music Interfacing and Guide to Computing for Expressive Music Performance.

Blurb

This pioneering text/reference explores how innovative new modes of computation may provide exciting new directions for future developments in the music industry, guiding the reader through the latest research in this emerging, interdisciplinary field. This work includes coverage of electronic music compositions and performances that incorporate unconventional interfacing, hacking and circuit bending.

Topics and features:

• Presents an introduction to the broader field of unconventional computing, and to the application of unconventional computing in music composition and performance
• Discusses initiatives involving biophysical electronic music, the work of self-styled silicon luthiers, and the intersection of music and quantum computing
• Introduces the memristor, a new electronic component with the potential to revolutionize how computers are built in the future
• Reviews experiments and practical applications of biological memristors in music
• Describes IMUSIC, an unconventional tone-based programming language, which enables the programming of computers using musical phrases
• Includes review questions at the end of each chapter

This unique volume is recommended reading for students pursuing postgraduate studies in computer music and associated topics, and for undergraduate students in computing, engineering, and music seeking to understand the key issues in the field. Researchers in academia and the private sector will also find the work to be an invaluable source of information.

Prof. Eduardo Reck Miranda is a composer and Professor in Computer Music at Plymouth University, UK, where he is Director of the Interdisciplinary Centre for Computer Music Research (ICCMR). His previous publications include the Springer titles Guide to Brain-Computer Music Interfacing and Guide to Computing for Expressive Music Performance.