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Abstract/Contents

Abstract
This thesis aims to outline the theoretic and artistic research undertaken to produce a series of works exploring the distinct expressive opportunities and ethical considerations inherent to music and machine learning. I will reference speculations on the origins of song, and conceptions of an expanded definition of intelligence. I will also describe challenges to notions of collective and individual authorship, and ownership, posed by artificial intelligence.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2019; ©2019
Publication date 2019; 2019
Issuance monographic
Language English

Creators/Contributors

Author Herndon, Holly Rebecca
Degree supervisor Chafe, Chris
Thesis advisor Chafe, Chris
Thesis advisor Berger, Jonathan, 1954-
Thesis advisor DeMarinis, Paul
Degree committee member Berger, Jonathan, 1954-
Degree committee member DeMarinis, Paul
Associated with Stanford University, Department of Music.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Holly Rebecca Herndon.
Note Submitted to the Department of Music.
Thesis Thesis DMA Stanford University 2019.
Location electronic resource

Access conditions

Copyright
© 2019 by Holly Rebecca Herndon

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