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’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’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.
Costas’s research interests lie in the field of audio signal processing. He is currently working on an interdisciplinary project which will employ audio analysis on knee acoustic signals in order to identify osteoarthritis and assess the disease severity on the knee joints.
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’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’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.
Research PostgraduateSimon’s research will focus is on devices that help improve speech intelligibility and speaker identification, with particular initial focus on speaker diarization.