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A Cognitively Inspired Method for the Statistical Analysis of Eighteenth-Century Music, as Applied in Two Corpus Studies

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