KYLE WORRALL

KYLE WORRALL, (Lecturer in Computing (Games Programming))

    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).

    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):

    • SDG 1 - No Poverty
    • SDG 8 - Decent Work and Economic Growth
    • SDG 9 - Industry, Innovation, and Infrastructure

    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 20151 Jul 2016

    Award Date: 15 Jun 2016

    Music, BA, Creative Music Production, Manchester Metropolitan University

    1 Sept 20121 May 2015

    Award Date: 5 Jun 2015

    Other positions

    Graduate Teaching Assistant, University of York

    1 Jan 20221 May 2023

    Keywords

    • M Music
    • QA75 Electronic computers. Computer science

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