Automated structural representation and algorithmic authentication of musical style and authorship.
Item
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Title
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Automated structural representation and algorithmic authentication of musical style and authorship.
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Identifier
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AAI9807922
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identifier
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9807922
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Creator
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Deutsch, Marjorie J.
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Contributor
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Adviser: Michael Anshel
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Date
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1997
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Language
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English
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Publisher
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City University of New York.
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Subject
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Computer Science | Music | Artificial Intelligence
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Abstract
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This dissertation describes the design of an expert system called ISAS (Integrated Style Authentication System). It uses a language called IMCL (Inverted Music Composition Language), which is based on weak second-order predicate calculus. This enables a structural representation of music which captures those stylistic attributes that are useful for identifying and authenticating musical authorship. IMCL was adapted from a language originally intended for composition of music. ISAS enables the formation of this representation by parsing the music in accordance with a collection of user-supplied characteristics and relations at various hierarchical levels. These properties, stored in predicate libraries, embody the "rules" of the system. Although ISAS can be used to authenticate any composer's works, this dissertation specifically demonstrates ISAS's ability to capture the style of the expositions of Mozart's piano sonatas and distinguish them from those written by his contemporaries. Its use in assigning likely authorship to certain compositions whose authors are in doubt is also demonstrated.
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Type
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dissertation
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Source
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PQT Legacy CUNY.xlsx
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degree
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Ph.D.
