Full metadata
Title
Using ChatGPT to Aid in Concert Band Music Selection: A Pilot Study
Description
With the central focus of making it easier for wind band conductors to find repertoire written by composers from underrepresented communities, this pilot study aimed to incorporate a ChatGPT widget within The Wind Repertory Project database, allowing it to quickly pull accurate information from the corresponding website, www.windrep.org. During this research, I created a custom GPT that is directly linked to The Wind Repertory Project database and am in progress of adding the before mentioned widget. This paper documents how I obtained the knowledge necessary to link ChatGPT with The Wind Repertory Project website as well as provides a brief history of artificial intelligence (AI) and the evolution of ChatGPT.
Date Created
2024
Contributors
- Scott, Anna (Author)
- Caslor, Jason (Thesis advisor)
- Duncan, Jamal (Committee member)
- Hudson, James G. (Committee member)
- Reymore, Lindsey (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
35 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.2.N.193530
Level of coding
minimal
Cataloging Standards
Note
Partial requirement for: D.M.A., Arizona State University, 2024
Field of study: Music
System Created
- 2024-05-02 01:58:56
System Modified
- 2024-05-02 01:59:03
- 6 months 3 weeks ago
Additional Formats