CNMAT Flashback

A look back at some items in our archives.

Archive Browser

Browse CNMAT content by type
Publication

Improving Graphical User Interfaces For Computer Music Applications

A. Freed, “Improving Graphical User Interfaces For Computer Music Applications”, Computer Music Journal, vol. 19, pp. 4-5, 1995.

Improving Graphical User Interfaces for Computer Music
Applications

Adrian Freed

Introduction

This note is a plea to the computer music community to aim
higher in the development of new graphical tools and better
graphical user interfaces (GUIs) for computer music
applications.

Publication

Real-Time Inverse Transform Additive Synthesis for Additive and Pitch Synchronous Noise and Sound Spatialization

A. Freed, “Real-Time Inverse Transform Additive Synthesis for Additive and Pitch Synchronous Noise and Sound Spatialization”, in Audio Engineering Society 104th Convention, San Francisco, CA, 1998.

Real-time Inverse Transform Additive Synthesis for Additive
and Pitch Synchronous Noise and Sound Spatialization

Adrian Freed

CNMAT, UC Berkeley, 1750 Arch Street, Berkeley, CA 94709

(510) 643 9990 x 308 adrian@cnmat.berkeley.edu

Publication

New Musical Control Structures from Standard Gestural Controllers

M. Wright, Wessel, D., and Freed, A., “New Musical Control Structures from Standard Gestural Controllers”, in International Computer Music Conference, Thessaloniki, Hellas, 1997, pp. 387-390.

New Musical Control Structures from Standard
Gestural Controllers

Matthew Wright, David Wessel, Adrian Freed

Center for New Music and Audio Technologies, U.C.
Berkeley

{matt, wessel, adrian}@cnmat.berkeley.edu

Publication

Open Sound Control: A New Protocol for Communicating with Sound Synthesizers

M. Wright and Freed, A., “Open Sound Control: A New Protocol for Communicating with Sound Synthesizers”, in International Computer Music Conference, Thessaloniki, Hellas, 1997, pp. 101-104.

Open SoundControl: A New Protocol for
Communicating with Sound Synthesizers

Matthew Wright, Adrian Freed

Center for New Music and Audio Technologies, U.C.
Berkeley

{matt, adrian}@cnmat.berkeley.edu

Publication

Connectionist Models for Musical Control of Nonlinear Dynamical Systems

D. Wessel, “Connectionist Models for Musical Control of Nonlinear Dynamical Systems”, Journal of Acoustical Society of America, vol. 92, 1992.

Musical instruments, whether acoustic or electronic, are often nonlinear. So too are many compositional algorithms used to generate sequences of notes. Effective artistic use of such instruments and compositional procedures requires controllers that transform the musician’s intention into the parameters that operate on the nonlinear system. Although a number of thorny theoretical issues remain unresolved, neural networks show considerable promise for the identification and control of nonlinear dynamical systems.

Pages