Computer Music Instruments

Foundations, Design and Development

Victor Lazzarini

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Hardback

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English

Springer International Publishing AG
06 October 2017

Electronic music; Digital music: professional; Audio processing

This book is divided into three elements. Part I provides a broad introduction to the foundations of computer music instruments, covering some key points in digital signal processing, with rigorous but approachable mathematics, and programming examples, as well as an overview of development environments for computer instruments. In Part II, the author presents synthesis and processing, with chapters on source-filter models, summation formulae, feedback and adaptive systems, granular methods, and frequency-domain techniques. In Part III he explains application development approaches, in particular communication protocols and user interfaces, and computer music platforms.

All elements are fully illustrated with programming examples using Csound, Python, and Faust. The book is suitable for advanced undergraduate and postgraduate students in music and signal processing, and for practitioners and researchers.

By: Victor Lazzarini
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: 1st ed. 2017
Dimensions: Height: 235mm, Width: 155mm,
Weight: 6.978kg
ISBN: 9783319635033
ISBN 10: 3319635034
Pages: 361
Publication Date: 06 October 2017
Audience: College/higher education , A / AS level , Further / Higher Education
Format: Hardback
Publisher's Status: Active

Victor Lazzarini is the Dean of the Dept. of Arts, Celtic Studies and Philosophy of the National University of Ireland, Maynooth, Ireland.

Reviews for Computer Music Instruments: Foundations, Design and Development

If you are looking for a useful reference book on computer music for instrument development, Lazzarini's book will surely serve the purpose. ... I enjoyed reading this book, which has an abundance of programs in Python, Csound, and Faust. The target readership includes postgraduates, advanced undergraduates, and researchers in signal processing, including music signals. (Soubhik Chakraborty, Computing Reviews, March, 2018)