Fully funded PhD in Spatial Audio Processing at AudioLab, University of York.
Improvements in 3-D audio height reproduction over loudspeakers using motion tracked transaural methods
Recent studies have shown how soundfields with height can deliver perceptive improvements in naturalness, spaciousness, continuity, immersion and sound image dimension and can improve perception of soundfield integration with UHD video content. New audio formats incorporating height channels targeted at cinema could naturally enhance virtual reality experiences captured by video cameras rigs such as Google Jump, or immersive games by extending the soundfield to three dimensions. The benefits include new audio features facilitating the design of immersive sound-centric games and experiences with significant social, cultural, educational and healthcare gains. However, sonic immersion is difficult to achieve in the home, as it is impractical to have dozens of transducers around the living room. This proposal therefore focuses on the delivery of immersive 3-D binaural sound with height through loudspeakers located solely at the visual display. The proposed research will tackle challenges in the delivery of stable soundfields using new adaptive acoustic crosstalk cancellation and equalisation methods that exploit recent advances in motion tracking technologies.
If you are interested in applying for this studentship and would like to know more about the project, please contact Dr. Gavin Kearney (email@example.com).
Applicants must apply via the University's online application system. Please read the application guidance first so that you understand the various steps in the application process. To apply, please select the link for either the PhD in Electronic Engineering or the PhD in Music Technology as appropriate for October 2016 entry. Please specify in your PhD application the research project which you are applying for and that you would like to be considered for one of these studentships in the Department of Electronics.
To be considered, applicants should hold (or expect to be awarded) at least an upper second class honours degree or equivalent in Electronic and Electrical Engineering, Physics, Computer Science, Mathematics or a related subject.