People

Patrick Naylor

Patrick Naylor

Professor

Patrick Naylor’s interests are in the areas of speech and audio signal processing and he has worked in particular on adaptive signal processing for acoustic echo control, SIMO/MIMO acoustic system identification and equalization, classification including speech and speaker recognition, multi-channel speech enhancement and speech production modeling.

Mike Brookes

Mike Brookes

Reader

Mike Brookes’s research concentrates on the application of signal processing algorithms to speech and image processing and to software radio systems. He combines expertise in signal processing and digital system design and is interested both in the development of new algorithms and in their real-time hardware implementation.

Christine Evers

Christine Evers

Research Fellow

Christine Evers’s research interests are in the area of Bayesian signal processing. She is awarded an EPSRC Postdoctoral Research Fellowship to work on “Acoustic Signal Processing and Scene Analysis for Socially Assistive Robots”, involving acoustic SLAM, multi-source tracking, and sensor fusion.

Leo Lightburn

Leo Lightburn

Research Postgraduate

Leo’s research is in the area of speech enhancement. He is currently investigating methods for improving the intelligibility of very noisy speech signals.

Peter Dawson

Peter Dawson

Research Postgraduate

Peter’s research is in acoustic imaging. The aim is to develop a technique to identify objects based on their surface texture by analysing the scattering of acoustic waves when received by a sensor array.

Aidan O. T. Hogg

Aidan O. T. Hogg

Research Postgraduate

Aidan’s research is in speaker diarisation which aims at answering the question ‘which speaker spoke when?’. More formally this requires the unsupervised identification of each speaker within an audio stream and the intervals during which each speaker is active.

Vincent Neo

Vincent Neo

Research Postgraduate

Vincent’s research interest is in adaptive signal processing for blind system identification and blind source separation. The aim is to develop novel techniques that can improve the acoustic awareness of robots.

Simon McKnight

Simon McKnight

Research Postgraduate

Simon’s research will focus is on devices that help improve speech intelligibility and speaker identification, with particular initial focus on speaker diarization.