Leo Lightburn

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.