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LATENT REFERENCES / TAG2

IDyOM

This reference note belongs to Tag2 in Latent References, an archive curated by Keigo Yoshida. Its archive region is 3D. The note preserves its source text and links so that readers can trace the material behind the 3D map.

Collection
Tag2
Archive region
3D

Archived reference note

English translation of the archived note. JP shows the original text. Source links and literal code are retained; the translation does not update or independently verify the source claims.

IDyOM (Information Dynamics of Music) is a system for constructing multiple-viewpoint, variable-order Markov models (Conklin & Witten, 1995; Bunton, 1997) for predictive modelling of probabilistic structure in symbolic, sequential auditory domains such as music. IDyOM acquires knowledge 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. Scientific presentations of IDyOM can be found in Pearce (2005, 2018) - please use these as citations in any publications using this software.

Source updated 2023-06-22 · Snapshot 2026-10-08

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