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/
