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Description:: This dissertation uses several interrelated methods derived from corpus linguistics, statistics, and machine learning to infer a number of historically significant voice-leading schemas in a corpus of eighteenth-century Neapolitan solfeggi (exercises for voice with bass accompaniment). The goal of this work is to gain insights not only into the characteristics...
Keyword:: Galant style, Temporal regularity, Music cognition, Schema theory, Machine learning, and Structure mapping theory
Subject:: Music
Creator:: James Symons
Owner:: Scholarly Digital Publishing
Date Uploaded:: 01/16/2019
Date Modified:: 01/16/2019
Date Created:: 2017-01-01
Resource Type:: Dissertation

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