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[AUDITORY] IDyOM v1.7
- To: AUDITORY@xxxxxxxxxxxxxxx
- Subject: [AUDITORY] IDyOM v1.7
- From: Marcus Pearce <marcus.pearce@xxxxxxxxxx>
- Date: Mon, 22 May 2023 16:04:34 +0100
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Dear All,
I'm pleased to announce v1.7 of IDyOM (Information Dynamics of
Music). Downloads and documentation are available from:
http://mtpearce.github.io/idyom/
See the README for details of what's new in this release.
IDyOM is a system for constructing multiple-viewpoint,
variable-order Markov models for predictive modelling of
probabilistic structure in symbolic, sequential auditory domains
such as music. IDyOM acquires information about a domain through
statistical learning and generates conditional probability
distributions representing the estimated likelihood of each event in
a sequence, plus associated information-theoretic measures, given
the preceding context and prior short- and long-term training of the
model.
Marcus
--
School of Electronic Engineering and Computer Science
Queen Mary University of London, London E1 4NS, UK
Web: http://www.marcus-pearce.com
Lab: http://music-cognition.eecs.qmul.ac.uk