An exploratory analysis of the applications of generative off-the-shelf artificial intelligence in music composition

Townsend, Ella R (2024) An exploratory analysis of the applications of generative off-the-shelf artificial intelligence in music composition. MRes thesis, University of Nottingham.

[thumbnail of Portfolio of Compositions Commentary (1/7)]
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[thumbnail of ifyoudon'tweaken AUDIO (2/7)] Audio (WAV) (ifyoudon'tweaken AUDIO (2/7)) (Thesis - as examined)
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[thumbnail of The Magenta Suite AUDIO (3/7)] Audio (MP3) (The Magenta Suite AUDIO (3/7)) (Thesis - as examined)
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[thumbnail of ifyoudon'tweaken SIBELIUS FILE (4/7)] Plain Text (ifyoudon'tweaken SIBELIUS FILE (4/7)) (Thesis - as examined)
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[thumbnail of The Magenta Suite SIBELIUS FILE (5/7)] Plain Text (The Magenta Suite SIBELIUS FILE (5/7)) (Thesis - as examined)
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Abstract

A portfolio of two works that have been created with the use of Google's Magenta Studio, and OpenAI's ChatGPT4 and DALLE. The accompanying commentary outlines the creative process and influence that went into the creation of both pieces.

Item Type: Thesis (University of Nottingham only) (MRes)
Supervisors: Paterson, Simon
Chamberlain, Alan
Keywords: Music Composition, Music, Composition, Jazz, Free Jazz, Soundscape, Drone, Electroacoustic, Generative AI, AI, Artificial Intelligence, Artificial Intelligence Music, ChatGPT, DALLE, Magenta Studio, Google, OpenAI, Ableton Live, Off the shelf, Off-The-Shelf
Subjects: M Music and Literature on music > M Music
Faculties/Schools: UK Campuses > Faculty of Arts > School of Humanities
Item ID: 78490
Depositing User: Townsend, Ella
Date Deposited: 31 Dec 2024 04:40
Last Modified: 28 Feb 2025 15:21
URI: https://eprints.nottingham.ac.uk/id/eprint/78490

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