SIM CDT PhD Student
Research Interests
- Machine Learning
- Audio Production and Post-Production
- Accessibility
Biography
Kim Steele (she/her) graduated with a BSc(Hons) in Mathematics from Manchester Metropolitan University in 2019. She went on to complete an MSc in Audio Acoustics at University of Salford (2021). This was followed by an MSc by Research at the AudioLab, University of York (2023) focussing on the use of machine learning to generate metadata for accessible audio. She is currently undertaking a PhD as part of the Sound Interactions in the Metaverse Centre for Doctoral Training. Her current research is measuring the impact of headphones and in-ear monitors on singers.
Projects
- XR Stories
- Streamlining production workflows for accessible audio using AI metadata assignment
- SAFFIRE (Scalable Audio Frameworks For Immersive Realtime Experiences)
- Virtual Choirs in Care Homes