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This article is from the Computer Music Bibliography FAQ, by Piet van Oostrum piet@cs.ruu.nl with numerous contributions by others.

12 Computer Music - Computer Music bibliography part4

BOOK ANNOUNCEMENT:

Representations of Musical Signals,
edited by Giovanni De Poli, Aldo Piccialli, and Curtis Roads

Published by MIT Press, 1991
ISBN 0-262-04113-8, 478 pages, hardcover, US$ 50.00

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. It explores new representations of musical signals that can
have profund effects on the way musicians conceive of and realize musical
ideas. In particular, the book focuses 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 techniques and
adaptive neural net- works. The 14 contributions take up issues of how
musical signals should be displayed to musicians, engineers, and scientists
who want to work with them, how professionals can work with the
representations to accomplish musical tasks, how systems can be designed to
permit working with multiple views of the same signal, and how representa-
tions of musical signals should be organized to promote efficient
communication between devices using these signals.

Representations of Musical Signals is aimed at the expanding group of
musicians, engineers, and scientists who are interested in innovative
approache to digital audio and computer music. We expect that this book
will be useful in undergraduate and graduate courses in computer music,
musical acoustics, and digital audio signal processing.

Giovanni De Poli is a member of the faculty of the Department of
Electronics and Informatics 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 a composer and consulting editor of Computer Music
Journal.

INDEX
 
     Contributors                                             xi
     Preface                                                xiii
 
I    TIME-FREQUENCY REPRESENTATIONS OF
     MUSICAL SIGNALS                                           1
 
     Overview                                                  3
     A. Piccialli
 
1    Timbre Analysis by Synthesis: Representations,
     limitations, and Variants for Musical
     Composition                                               7
     J.C. Risset
 
2    Application of Time-Frequency and Time-Scale
     Methods (Wavelet Transforms) to the Analysis,
     Synthesis, and Transformation of Natural
     Sounds                                                   45
     R. Kronland-Martinet and A. Grossman
 
3    Analysis, Transformation, and Resynthesis of
     Musical Sounds with the Help of a Time-Frequency
     Representation                                           87
     D. Arfib
 
4    Wavelet Transforms that We Can Play                     119
     G. Evangelista
 
II   GRANULAR REPRESENTATIONS OF MUSICAL SIGNALS             137
 
     Overview                                                139
     G. De Poli
 
5    Asynchronous Granular Synthesis                         143
     C. Roads
 
6    Pitch-Synchronous Granular Synthesis                    187
     G. De Poli and A. Piccialli
 
III  PHYSICAL MODEL REPRESENTATIONS OF MUSICAL SIGNALS       221
 
     Overview                                                223
     G. De Poli
 
7    The Physical Model: Modeling and Simulating the
     Instrumental Universe                                   227
     J. Florens and C. Cadoz
 
8    The Missing Link: Modal Synthesis                       269
     J.-M. Adrien
 
9    Synthesizing Singing                                    299
     J. Sundberg
 
IV   ARCHITECTURES AND OBJECT REPRESENTATIONS OF
     MUSICAL SIGNALS                                         321
 
     Overview                                                323
     C. Roads
 
10   Music, Signals, and Representations: A Survey           325
     uy Garnett
 
11   An Object-based Representation for Digital
     Audio Signals                                           371
 
12   New Generation Architectures for Music and
     Sound Processing                                        391
     S. Cavaliere
 
V    PARALLEL DISTRIBUTED PROCESSING REPRESENTATIONS
     OF MUSICAL SIGNALS                                      413
 
     Overview                                                415
     A. Piccialli
 
13   Understanding Music Cognition: A Connectionist View     417
     C. Lischka
 
14   Qualitative Aspects of Signal Processing Through
     Dynamic Neural Networks                                 447
     R. D'Autilia and F. Guerra
 
     Name Index                                              463
     Subject Index                                           467

 

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