IDyOM Project

h1. Roadmap

h2. Installation

* -Remove absolute pathname in connect-to-database. (mtp-admin/music-data.lisp)-

* Create cache directories if they don't exist.

h2. Data import

* -It is possible to import empty datasets, which cause an error when described.-

h2. Viewpoints

* Polyphonic viewpoints for modelling harmonic movement

* Zero barlengths sometimes cause divide by zero errors

* A straightforward language for specifying viewpoints, including viewpoint schemas (e.g. interval, interval size), making system more data agnostic

h2. Viewpoint selection

* Memory errors sometimes occur with large viewpoints sets (e.g., Cpitch with no basis specified)

* When decimal places are restricted for comparison, earlier systems are preferred within a round, so use full precision to choose between ties

* Print trace information about VP sets being tested + mean IC values; record this to log file.

* Optionally specify: min-links

* More flexible way for user to specify constraints on viewpoint search:

** Define labelled viewpoint classes

** Pairs/triples of labels/wildcards specify acceptable combinations

** User provides whitelist or blacklist spec

* Provide recommended viewpoints for more basic viewpoints than just cpitch, onset & bioi

h2. Modelling

* Predict over more than one dataset.

* Allow multiple memory stores (i.e., not restricted to just two: the LTM and STM).

* Hierarchical structure: chunk common patterns into symbols using information content and entropy as indicators of grouping structure (Pearce et al., 2010, Perception)

* Compute predictive information (PI), expected PI and PI rate as analogs to IC, entropy and entropy rate respectively (Abdallah & Plumbley, 2009).

* Offer the selection of alternative context strategies (e.g., include future context)

* Allow the user to fix the weights for particular combinations, e.g. weighted viewpoints, or weighted memory stores (LTM/STM etc.)

* Allow the user to determine order of model combination (e.g., LTM-STM first, then viewpoints vs viewpoints first then LTM/STM)

h2. Longer-term goals

Interface

* A web service.

* Implement a 'Pace' viewpoint: measure of information rate (bits/sec), analogous to flow in speech production.

Efficiency:

** Check/extend caching of models etc.

** Use sampling to estimate mean IC during VP selection.

** Optimise viewpoint selection based on match with existing IC values.

Testing

** Include unit testing code.