Personal profile
Biography
My research is primarily in the application of machine and deep learning models to music generation and performance in video games. Primarily my PhD research uses language models to create and perform music in real-time to investigate the impacts of real-time musical adaption to players sense of repetition.
I additionally output research in HCI and MIR (looking at interaction between AI and creative professionals).
Education/Academic qualification
Computer Science, PhD, Expressive Countermelody Generation for Reduced Repetition in Roleplaying Games, University of York
30 Sept 2020 → …
Award Date: 1 May 2025
Music, MSc, Sound and Music for Interactive Games, Leeds Beckett University
1 Sept 2015 → 1 Jul 2016
Award Date: 15 Jun 2016
Music, BA, Creative Music Production, Manchester Metropolitan University
1 Sept 2012 → 1 May 2015
Award Date: 5 Jun 2015
Other positions
Graduate Teaching Assistant, University of York
1 Jan 2022 → 1 May 2023
Keywords
- M Music
- QA75 Electronic computers. Computer science
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 1 No Poverty -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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Comparative evaluation in the Wild: Systems for the expressive rendering of music
WORRALL, K., Collins, T. & Yin, Z., 4 Jun 2024, In: IEEE Transactions on Artificial Intelligence. 5, 10, p. 5290-5303 15 p.Research output: Contribution to journal › Article (journal) › peer-review
Open AccessFile166 Downloads (Pure) -
Final Fantasy VII: Music Redesign for Evolved Expectations Across Console Generations
WORRALL, K., 1 Oct 2024, (E-pub ahead of print) In: Journal of Sound and Music in Games. 5, 4, p. 34-56 23 p.Research output: Contribution to journal › Article (journal) › peer-review
Open AccessFile163 Downloads (Pure) -
Reflection Across AI-based Music Composition
Ford, C., Noel-Hirst, A., Cardinale, S., Loth, J., Sarmento, P., Wilson, E., Wolstenholme, L., WORRALL, K. & Bryan-Kinns, N., 24 Jun 2024, C & C' 24: Proceedings of the 16th Conference on Creativity & Cognition. Bailey, B., Latulipe, C. & Ferguson, S. (eds.). Association for Computing Machinery (ACM), p. 398-412 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding (ISBN) › peer-review
Open Access18 Link opens in a new tab Citations (Scopus) -
Considerations and Concerns of Professional Game Composers Regarding Artificially Intelligent Music Technology
WORRALL, K. & Collins, T., 25 Sept 2023, In: IEEE Transactions on Games. 16, 3, p. 586-597 13 p.Research output: Contribution to journal › Article (journal) › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)123 Downloads (Pure) -
The Ethics of Creative AI
Flick, C. & WORRALL, K., 6 Nov 2022, The Language of Creative AI: Practices Aesthetics and Structures. Vear, C. & Poltronieri, F. (eds.). 1st ed. Switzerland: Springer, p. 73-91 18 p. (Springer Series on Cultural Computing; no. 1).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
25 Link opens in a new tab Citations (Scopus)