OMPrisma

Library for Spatial Sound Synthesis in OpenMusic

© 2009-2014, Marlon Schumacher (CIRMMT, McGill University)
OMPrisma project page

OMPrisma is a library for spatial sound synthesis embedded in the visual computer-aided composition environment OpenMusic. OMPrisma is developed in collaboration with the IRCAM Music Representations team.

Dependencies:

Csound > 5.x (http://www.csounds.com/)
OpenMusic > 6.x (http://repmus.ircam.fr/openmusic/home)
OMChroma > 4.x (http://repmus.ircam.fr/cao/omchroma)

This software is provided "as-is" and has been tested on MacOS10.7/8/9. Please address any comments/questions/issues to marlon[at]music[dot]mcgill[dot]ca

DISCLAIMER:

This program is free software; you can redistribute it and/or
modify it under the terms of the GNU General Public License
as published by the Free Software Foundation; either version 3
of the License, or (at your option) any later version.

See file LICENSE for further informations on licensing terms.

This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.

YOU SHOULD HAVE RECEIVED A COPY OF THE GNU GENERAL PUBLIC LICENSE
ALONG WITH THIS PROGRAM; if not, write to the Free Software
Foundation, Inc., 59 Temple Place - Suite 330, Boston, MA 02111-1307,10 USA.

Release notes:

Release Version : 2.3
Release Date : 09/11/2013

• Introducing classes for source preprocessing

Release Version : 2.1
Release Date : 11/03/2011

• New class for Virtual Microphone Control (ViMiC)
• Ambisonics classes deduce their encoding parameters automatically from loudspeaker-setup

Release Version : 2.0
Release Date : 14/11/2010

• Major update in dsp architecture:
  csound instruments are dynamically scripted using UDOs and MACROs
• Introducing classes implementing sweetspot-agnostic spatialization techniques: Babo, DBAP (distance-based amplitude panning)
• 2D/3D distinction has been removed, classes deduce dimensionality from loudspeaker setup