Leo Lightburn

 

Leo Lightburn

Leo Lightburn

Website: leolightburn.github.io 

Email: leo.lightburn09@imperial.ac.uk

Electrical & Electronic Engineering
South Kensington Campus
Imperial College London
London SW7 2AZ, UK

RESEARCH INTERESTS

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

PUBLICATIONS

  • A. Moore, L. Lightburn, W. Xue, P. Naylor, and M. Brookes, “Binaural mask informed speech enhancement for hearing aids with head tracking,” in Proc. Intl Wkshp Acoustic Signal Enhancement, Tokyo, 2018
  • L. Lightburn, E. D. Sena, A. Moore, P. A. Naylor, and M. Brookes, “Improving the perceptual quality of ideal binary masked speech,” in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.
  • L. Lightburn and M. Brookes, “A weighted STOI intelligibility metric based on mutual information,” in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2016.
  • L. Lightburn and M. Brookes, “SOBM – a binary mask for noisy speech that optimises an objective intelligibility metric,” in Proc. IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2015.