IDyOM v1.1

[Marcus Pearce <marcus.pearce@xxxxxxxxxx>]

Dear All (with apologies for cross-posting),

I'm pleased to announce v1.1 of IDyOM (Information Dynamics of Music) - 
a framework 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 note in a melody, given the preceding 
musical context; it computes Shannon entropy as a measure of uncertainty 
about the next note and information content as a measure of the 
unexpectedness of the note that actually follows.

Updates in this release include greater control of caching behaviour, 
easier installation, improved internal representations of music objects 
and fixes to Lilypond export.

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/