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About the Project
The simulation of sounds in our natural environment is important for us be able to more reliably model and analyse the acoustic results of small or large-scale, human interventions, such as a newly proposed road, airport or rail project. Developments such as these have the potential for a significant impact on our wider health and wellbeing through their contribution to increased noise levels, with the resulting consequences for enforced change on the existing soundscape. This research will involve the analysis, simulation and rendering of natural soundscapes as well as the assessment of the impact of soundscapes on human subjects. Machine Learning and AI together with data from distributed or wearable audio sensors can give significant insight into our acoustic environment which can help inform the design decisions of planners, or how we as individuals choose to interact with our sound world. Auralisation and VR/AR technology enables us to render the results effectively to a listener so that we can test how they respond to changes in their sound environment. Improved qualitative and quantitative metrics are also needed to assess the impact of soundscape on our day-to-day lives.
Entry requirements:
Candidates should have (or expect to obtain) a minimum of a UK upper second class honours degree (2.1) or equivalent in Electronic and Electrical Engineering, Physics, Computer Science, Mathematics, Music Technology or a closely related subject.
How to apply:
Applicants should apply via the University’s online application system at https://www.york.ac.uk/study/postgraduate-research/apply/. Please read the application guidance first so that you understand the various steps in the application process.
Funding Notes
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