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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.

11 Computer Music - Computer Music bibliography part3

BOOK ANNOUNCEMENT:

MUSIC AND CONNECTIONISM,
edited by
Peter M. Todd and D. Gareth Loy

MUSIC AND CONNECTIONISM is now available from MIT Press. This 280-pp. book
contains a wide variety of recent research in the applications of neural
networks and other connectionist methods to the problems of musical listening
and understanding, performance, composition, and aesthetics. It consists of a
core of articles that originally appeared in the Computer Music Journal, along
with several new articles by Kohonen, Mozer, Bharucha, and others, and new
addenda to the original articles describing the authors' most recent work.
Topics covered range from models of psychological processing of pitches,
chords, and melodies, to algorithmic composition and performance factors. A
wide variety of connectionist models are employed as well, including
back-propagation in time, Kohonen feature maps, ART networks, and Jordan- and
Elman-style networks. We've also included a discussion generated by the
Computer Music Journal articles on the use and place of connectionist systems
in artistic endeavors. A more detailed description of the book is provided
below (from the jacket text), along with the complete table of contents.

MUSIC AND CONNECTIONISM can be found in bookstores that carry MIT Press
publications, or can be purchased directly from MIT Press by calling their
toll-free order number, 1-800-356-0343, and giving the operator this catalog
number: 1CSAT 503, and this book code: TODMH. By phone and mail-order, the
price is $39.95; in stores, it will probably be $45 (there is some confusion
with the publisher on this point, so I wanted to give out the detailed
information for phone orders to save people some money).
***************************************************************************
Music and Connectionism,
edited by Peter M. Todd and D. Gareth Loy

As one of our highest expressions of thought and creativity, music has always
been a difficult realm to capture, model, and understand. The connectionist
paradigm, now beginning to provide insights into many realms of human
behavior, offers a new and unified viewpoint from which to investigate the
subtleties of musical experience. Music and Connectionism provides a
fresh approach to both fields, using techniques of connectionism and parallel
distributed processing to look at a wide range of topics in music research,
from pitch perception to chord fingering to composition.

The contributors, leading researchers in both music psychology and neural
networks, address the challenges and opportunities of musical applications of
network models. The result is a current and thorough survey that advances our
understanding of musical perception, cognition, composition, and performance
and of the design and analysis of networks.

Music and Connectionism is based on a core of articles originally appearing as
two special issues of the Computer Music Journal. These have been augmented
with addenda covering more recent research by the authors. The book opens
with tutorial chapters introducing neural networks in a musical context and
relevant aspects of previous computer music research, making this a
self-contained text. There are many new chapters, along with new section
introductions, summaries of related work, and a final debate on the artistic
implications of connectionist methods.

Peter M. Todd is a doctoral candidate in the PDP Research Group of the
Psychology Department at Stanford University. Gareth Loy DMA is an
award-winning composer, member of the Board of Directors of the Computer Music
Association, lecturer in the Music Department of UC San Diego, and member of
the technical staff of Frox Inc.

Contents:
Preface and Introduction, Peter M. Todd and D. Gareth Loy

Part 1: Background
Machine Tongues XII: Neural Networks, Mark Dolson
Connectionism and Musiconomy, D. Gareth Loy

Part 2: Perception and Cognition
A Neural Net Model for Pitch Perception, Hajime Sano and B.
Keith Jenkins
Connectionist Models for Tonal Analysis, Don L. Scarborough,
Ben O. Miller, and Jacqueline A. Jones
The Representation of Pitch in a Neural Net Model of Chord
Classification, Bernice Laden and Douglas H. Keefe
Pitch, Harmony, and Neural Nets: A Psychological Perspective,
Jamshed J. Bharucha
The Ontogenesis of Tonal Semantics: Results of a Computer Study,
Marc Leman
Modeling the Perception of Tonal Structure with Neural Nets,
Jamshed J. Bharucha and Peter M. Todd
Using Connectionist Models to Explore Complex Musical Patterns,
Robert O. Gjerdingen
The Quantization of Musical Time: A Connectionist Approach,
Peter Desain and Henkjan Honing

Part 3: Applications
A Connectionist Approach to Algorithmic Composition,
Peter M. Todd
Connectionist Music Composition Based on Melodic, Stylistic, and
Psychophysical Constraints, Michael C. Mozer
Creation By Refinement and the Problem of Algorithmic Music
Composition, J.P. Lewis
A Nonheuristic Automatic Composing Method, Teuvo Kohonen, Pauli
Laine, Kalev Tiits, and Kari Torkkola
Fingering for String Instruments with the Optimum Path Paradigm,
Samir I. Sayegh

Part 4: Conclusions
Letter from Otto Laske
Responses to Laske by Todd and Loy
Further Research and Directions, Peter M. Todd

List of Author Addresses

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