A Model Computer Program For The Parametral Analysis Of Atonal Music PDF Download

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Set Theory Objects

Set Theory Objects
Author: Peter Castine
Publisher: Peter Lang Gmbh, Internationaler Verlag Der Wissenschaften
Total Pages: 224
Release: 1994
Genre: Computers
ISBN:

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Set Theory is both the most important and most difficult contribution to 20th century music analysis and composition of the last forty years. Set Theory Objects provides a comprehensive introduction to this theory and its practice, explaining the concepts and terminology used precisely and understandably. Computers are a valuable tool in set theoretic work. This book not only provides a survey of currently available software, it also describes the development of a new program for set theoretical applications. Particular attention is paid to the strategies followed in designing the program to make it a truly usable tool for musicians, regardless of their technical sophistication. Thus, this book is not only of interest to musicians, but can serve as a case study in human interface design.


Analyzing Atonal Music

Analyzing Atonal Music
Author: Michiel Schuijer
Publisher: University Rochester Press
Total Pages: 334
Release: 2008
Genre: Music
ISBN: 9781580462709

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For the past 40 years, pitch-class set theory has served as a frame of reference for the study of atonal music, through the efforts of Allan Forte, Milton Babbitt, and others. This text combines thorough discussions of musical concepts with an historical narrative.


Computer Music Association Source Book

Computer Music Association Source Book
Author: Craig Harris
Publisher: San Francisco, Calif. : CMA
Total Pages: 264
Release: 1987
Genre: Computer music
ISBN:

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Proceedings

Proceedings
Author:
Publisher:
Total Pages: 476
Release: 1981
Genre: Computer composition
ISBN:

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Guide to Brain-Computer Music Interfacing

Guide to Brain-Computer Music Interfacing
Author: Eduardo Reck Miranda
Publisher: Springer
Total Pages: 321
Release: 2014-10-03
Genre: Computers
ISBN: 1447165845

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This book presents a world-class collection of Brain-Computer Music Interfacing (BCMI) tools. The text focuses on how these tools enable the extraction of meaningful control information from brain signals, and discusses how to design effective generative music techniques that respond to this information. Features: reviews important techniques for hands-free interaction with computers, including event-related potentials with P300 waves; explores questions of semiotic brain-computer interfacing (BCI), and the use of machine learning to dig into relationships among music and emotions; offers tutorials on signal extraction, brain electric fields, passive BCI, and applications for genetic algorithms, along with historical surveys; describes how BCMI research advocates the importance of better scientific understanding of the brain for its potential impact on musical creativity; presents broad coverage of this emerging, interdisciplinary area, from hard-core EEG analysis to practical musical applications.