Research
I am interested in spoken language understanding for both humans and machines. At the moment my research interests include:
- Hearing impairment and cochlear implant processing
- Computational auditory scene analysis
- Noise-robust automatic speech recognition
- Speech perception in noise
A list of my publications can be found
here.
Ph.D. Research
My doctoral study (completed in 2008) focused on investigating a human-inspired approach to automatic speech recognition in noisy environments. I developed novel techniques for identifying acoustic events in sound mixtures and using this information to mediate sound organisation by a combination of bottom-up and top-down processing (see
examples). The work has demonstrated remarkably robust speech recognition results in a competitive international evaluation: the
Speech Separation Challenge. A copy of my Ph.D. thesis can be found
here.
My Ph.D. work has contributed to the EC HOARSE (EU Framework 5) research training network, the EU project
POP (EU Framework 6) and the
SPECS project (funded by the Department of Health HTD programme).
I have been a visiting research scientist at the Department of Electrical Engineering, University of Washington, Seattle, during which I worked with
Jeff Bilmes on the Multidisciplinary University Research Initiative project `Human-like Speech Processing'. This work investigated the application of graphical models to the problem of robust conversational speech recognition. See
demonstrations and
publication of the research.