In the following table, contact information relevant to the page. The first column is for visual reference only. Data is in the right column.
|Job title:||Research Associate|
|Division:||Department of Electrical and Electronic Engineering|
|Organisation:||Imperial College London|
|Tags:||Fellowship: Postdoctoral, Imperial College London, Researcher|
Dr Christine Evers completed her PhD and worked as a research fellow at the University of Edinburgh until 2010. She then worked as a Senior Systems Engineer at Selex, Edinburgh, after which she was a research associate at Imperial College London. As of 2017, she is awarded an EPSRC fellowship.
Recent advances in robotics and autonomous systems are rapidly leading to the evolution of machines that assist humans across the industrial, healthcare, and social sectors. For intuitive interaction between humans and robots, spoken language is a fundamental prerequisite. However, in realistic environments, speech signals are typically distorted by reverberation, noise, and interference from competing sound sources.
The aim of this fellowship is therefore to research and develop novel acoustic signal processing algorithms that provide machines with the ability to explore, adapt and react to stimuli in the acoustic environment. Novel algorithms are developed that detect, localize, and identify sound sources, such as human talkers, whilst characterizing the acoustic environment. The project will take advantage of the motion of the robot in order to look at uncertain events from different perspectives. Techniques will be developed to constructively exploit motion of the robot's arms by fusing microphones attached to the robot's limbs with microphone arrays installed in the robot head. Furthermore, approaches will be investigated that allow multiple robots to share their experience and knowledge about the acoustic environment.
The outcomes of this fellowship therefore have potential impact towards a wide range of technologies, including hearing aids, smart homes, virtual reality devices, as well as robotics. In particular, this fellowship focuses on the application of socially assistive robotics, aimed to deploy interactive robots in every-day environments to provide patients with physical assistance, supervision, security, and motivation for rehabilitation.
Career benefit of Fellowship
The EPSRC Fellowship is a unique opportunity providing me with the independence to progress my long-term research vision, push the boundaries of my research area, and establish myself as a world-leading expert in acoustic scene mapping. By allowing me to pursue my research vision, the fellowship provides me with the ability to contribute and impact on society and academia by addressing fundamental questions about how machines can understand, learn, and adapt to their acoustic environments.