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- W1936391372 abstract "The work of this thesis seeks to further the use of computation in musical analysis. To a lesser extent it is hoped that it will provide some little evidence of a new angle on creating analytic elements through inference, andcast light onto some areas where analysis may be used anew.Parsers for musical information are small in number, none have been implemented in functional languages, nor using monadic combination techniques. Few analytic systems arecapable of, or even consider it necessary to, represent semantic ambiguity, and this is even more true of parsing systems. The work herein presented provides a system of unique monadic parsers built on combination that arecapable of delivering several different types and depths of results.Many computational-analytic systems are based on theories of similarity. The work presented here provides for analyticstructures to be created through inference i.e. in the absence of known structures. This is believed to be the first instance of this type of structure generation in the field of music." @default.
- W1936391372 created "2016-06-24" @default.
- W1936391372 creator A5056181201 @default.
- W1936391372 date "2011-01-01" @default.
- W1936391372 modified "2023-10-17" @default.
- W1936391372 title "Analysis of musical structures: an approach utilising monadic parser combinators" @default.
- W1936391372 hasPublicationYear "2011" @default.
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