Daniel (Mole) Turner

PhD Student

Email: djt530@york.ac.uk
Twitter: twitter.com/molem7b5
ORCID: 0000-0002-8542-9302

Interests

• Machine learning
• Environmental soundscapes
• Sound design

Biography

Dan is a PhD candidate in the AudioLab, Department of Electronic Engineering, University of York, York, UK. His research explores the challenges presented by sound design for immersive media experiences and how machine learning could be used in an assistive capacity. Prior to undertaking his PhD Dan graduated from the University of Derby, Derby, UK, with a First Class BA(Hons) in Popular Music with Music Technology (2012) and an MSc in Audio Engineering with Distinction (2018). He also holds a PGCE in Post Compulsory Education (2015) from Canterbury Christ Church University, Canterbury, UK, and previously taught audio production at Further Education colleges. His work is funded by an EPSRC iCASE studentship in partnership with BBC Research and Development. He is a member of the Audio Engineering Society.

Associated Projects

• Intelligent Sound Design

Highlighted Publications

“Content Matching for Sound Generating Objects within a Visual Scene using a Computer Vision Approach” – Daniel Turner, Chris Pike, and Damian Murphy