Representations of Musical Signals

by Giovanni De Poli (Editor), Aldo Piccialli (Editor), Curtis Roads (Editor)

Overview

Representations of Musical Signals describes a new generation of digital audio and computer music systems made possible by recent advances in digital signal processing theory, hardware design, and programming techniques.

Product Details

ISBN-13:	9780262518963
Publisher:	MIT Press
Publication date:	05/13/1991
Series:	The MIT Press
Pages:	494
Product dimensions:	6.00(w) x 8.90(h) x 1.00(d)
Age Range:	18 Years

About the Author

Giovanni De Poli is a member of the faculty of the Department of Informatics and Electronics at the University of Padua.

Aldo Piccialli is a member of the faculty of the Department of Physics at the University of Naples.

Curtis Roads is Associate Professor of Media Arts and Technology, with a joint appointment in the Department of Music, at the University of California, Santa Barbara.

Table of Contents

Contributors
Preface
I TIMEFREQUENCY REPRESENTATIONS OF MUSICAL SIGNALS
Overview
A. Piccialli
1 Timbre Analysis by Synthesis: Representations,
Imitations, and Variants for Musical Composition
J.C. Risset
2 Application of TimeFrequency and TimeScale Methods
(Wavelet Transforms) to the Analysis, Synthesis, and Transformation of
Natural Sounds
R. KronlandMartinet and A. Grossmann
3 Analysis, Transformation, and Resynthesis of Musical
Sounds with the Help of a TimeFrequency Representation
D. Arfib
4 Wavelet Transforms that We Can Play
G. Evangelista
II GRANULAR REPRESENTATIONS OF MUSICAL SIGNALS
Overview
G. De Poli
5 Asynchronous Granular Synthesis
C. Roads
6 PitchSynchronous Granular Synthesis
G. De Poli and A. Piccialli
III PHYSICAL MODEL REPRESENTATIONS OF MUSICAL SIGNALS
Overview
G. De Poli
7 The Physical Model: Modeling and Simulating the
Instrumental Universe
J.L. Florens and C. Cadoz
8 The Missing Link: Modal Synthesis
J.M. Adrien
9 Synthesizing Singing
J. Sundberg
IV ARCHITECTURES AND OBJECT REPRESENTATIONS OF MUSICAL
SIGNALS
Overview
C. Roads
10 Music, Signals, and Representations: A Survey
G.E. Garnett
11 An Objectbased Representation for Digital Audio
Signals
C. Scaletti and K. Hebel
12 New Generation Architectures for Music and Sound
Processing
S. Cavaliere
V PARALLEL DISTRIBUTED PROCESSING REPRESENTATIONS OF MUSICAL
SIGNALS
Overview
A. Piccialli
13 Understanding Music Cognition: A Connectionist
View
C. Lischka
14 Qualitative Aspects of Signal Processing Through
Dynamic Neural Networks
R. D'Autilia andF. Guerra
Name Index
Subject Index

Editorial Reviews

Fourteen articles by different authors describe digital audio and computer music systems made possible by advances in digital signal processing theory, hardware design, and programming techniques. They focus on models that combine time-domain and frequency-domain representations (grains, wavelets, and physical models), visual programming and advanced user interfaces, and that incorporate musical knowledge using artificial intelligence and adaptive neural networks. Annotation c. Book News, Inc., Portland, OR (booknews.com)

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