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[ISMIR-Community] IDyOM v1.8



Dear all, I'm pleased to announce v1. 8 of IDyOM (Information Dynamics of Music). Documentation and downloads are available at: https: //mtpearce. github. io/idyom/ This release contains updates to harmony modelling alongside general bug fixes. 
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Dear all,

I'm pleased to announce v1.8 of IDyOM (Information Dynamics of Music). Documentation and downloads are available at:

https://mtpearce.github.io/idyom/

This release contains updates to harmony modelling alongside general bug fixes. There is also improved documentation for modelling harmony and similarity as well as tools for music generation and key finding. See the README for full details of new features in this release.

IDyOM is a computational framework 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. IDyOM has been used to simulate musical expectations, perceptual similarity, auditory memory, complexity perception and experience of pleasure.

Marcus
-- 
Dr Marcus Pearce
School of Electronic Engineering and Computer Science 
Queen Mary University of London
https://www.marcus-pearce.com

New book: Learning to Listen, Listening to Learn
https://academic.oup.com/book/60588



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Open-access journal Transactions of ISMIR, open for submissions: https://tismir.ismir.net
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