Wiki » History » Version 10
Version 9 (Jeremy Gow, 2013-04-04 12:07 PM) → Version 10/29 (Jeremy Gow, 2013-04-09 11:52 AM)
h1. IDyOM wiki
This wiki documents the installation and usage of the IDyOM software, written in "Common Lisp":http://www.gigamonkeys.com/book/ by "Marcus Pearce":http://code.soundsoftware.ac.uk/users/105. In particular, the multiple-viewpoint statistical modelling framework for modelling auditory expectations in music perception.
h2. User documentation
The IDyOM documentation assumes a basic knowledge of Common Lisp, and familiarity with the system's purpose and underlying theory. For more information, see thesis.pdf in the distribution, as well as the "project publications":https://code.soundsoftware.ac.uk/publications?project_id=idyom-project.
* [[Installation]]
* [[start|Starting IDyOM]]
* [[database|Database management]]
* [[idyom|Running IDyOM]]
* [[amuse-viewpoints]]: a multiple viewpoint system for modelling musical melody.
* [[List of viewpoints]]
h2. Programmer documentation
* [[Architecture]]
* [[Adding viewpoints]]
* The [[ppm-star]] package [[ppm-star]]: implements the Prediction by Partial Match* statistical model (originally developed for lossless data compression).
* [[Roadmap|Development roadmap]]
This wiki documents the installation and usage of the IDyOM software, written in "Common Lisp":http://www.gigamonkeys.com/book/ by "Marcus Pearce":http://code.soundsoftware.ac.uk/users/105. In particular, the multiple-viewpoint statistical modelling framework for modelling auditory expectations in music perception.
h2. User documentation
The IDyOM documentation assumes a basic knowledge of Common Lisp, and familiarity with the system's purpose and underlying theory. For more information, see thesis.pdf in the distribution, as well as the "project publications":https://code.soundsoftware.ac.uk/publications?project_id=idyom-project.
* [[Installation]]
* [[start|Starting IDyOM]]
* [[database|Database management]]
* [[idyom|Running IDyOM]]
* [[amuse-viewpoints]]: a multiple viewpoint system for modelling musical melody.
* [[List of viewpoints]]
h2. Programmer documentation
* [[Architecture]]
* [[Adding viewpoints]]
* The [[ppm-star]] package [[ppm-star]]: implements the Prediction by Partial Match* statistical model (originally developed for lossless data compression).
* [[Roadmap|Development roadmap]]