IDyOM v1.3

[Marcus Pearce <marcus.pearce@xxxxxxxxxx>]

Dear All (with apologies for cross-posting),

I'm pleased to announce v1.3 of IDyOM (Information Dynamics of Music) - 
a system for constructing multiple-viewpoint, variable-order Markov 
models for predictive statistical modelling of musical structure. The 
system generates a conditional probability distribution representing the 
estimated likelihood of each event in a melodic sequence, given the 
preceding musical context; it computes Shannon entropy as a measure of 
uncertainty about the next event and information content as a measure of 
the unexpectedness of the event that actually follows.

Updates in this release include better information output during 
viewpoint selection, ability to specify minimum number of constituent 
viewpoints in a link during viewpoint selection, improvements to phrase 
and voice handling in Kern import, and several small fixes and enhancements.

The software and documentation are available at:

https://code.soundsoftware.ac.uk/projects/idyom-project
Marcus

--
Lecturer in Sound and Music Processing
Queen Mary, University of London
Mile End Road, London E1 4NS, UK
Tel: +44 (0)20 7882 6207
Web:http://webprojects.eecs.qmul.ac.uk/marcusp
Lab:http://music-cognition.eecs.qmul.ac.uk/