Subject: IDyOM v1.0 release From: Marcus Pearce <marcus.pearce@xxxxxxxx> Date: Sat, 21 Jun 2014 17:06:53 +0100 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>This is a multi-part message in MIME format. --------------060107000602060107070204 Content-Type: text/plain; charset=ISO-8859-1; format=flowed Content-Transfer-Encoding: 7bit Dear All, I'm pleased to announce the first public release 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. The multiple viewpoint framework allows combination of predictions from different features. The software and documentation are available here: 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/ --------------060107000602060107070204 Content-Type: text/html; charset=ISO-8859-1 Content-Transfer-Encoding: 7bit <html> <head> <meta http-equiv="content-type" content="text/html; charset=ISO-8859-1"> </head> <body bgcolor="#FFFFFF" text="#000000"> Dear All,<br> <br> I'm pleased to announce the first public release of IDyOM (Information Dynamics of Music) - a framework for constructing multiple-viewpoint, variable-order Markov models for predictive statistical modelling of musical structure. <br> <br> 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. The multiple viewpoint framework allows combination of predictions from different features.<br> <meta http-equiv="content-type" content="text/html; charset=ISO-8859-1"> <br> The software and documentation are available here:<br> <br> <a class="moz-txt-link-freetext" href="https://code.soundsoftware.ac.uk/projects/idyom-project">https://code.soundsoftware.ac.uk/projects/idyom-project</a><br> <br> Marcus<br> <pre class="moz-signature" cols="72">-- 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: <a class="moz-txt-link-freetext" href="http://webprojects.eecs.qmul.ac.uk/marcusp">http://webprojects.eecs.qmul.ac.uk/marcusp</a> Lab: <a class="moz-txt-link-freetext" href="http://music-cognition.eecs.qmul.ac.uk/">http://music-cognition.eecs.qmul.ac.uk/</a></pre> </body> </html> --------------060107000602060107070204--