Vincent Neo

Vincent_Neo

Vincent W. Neo

Research Postgraduate

Room 809
Electrical & Electronic Engineering
South Kensington Campus
Imperial College London
London SW7 2AZ, UK

Email: vincent.neo09@imperial.ac.uk
Tel:   +44-207-594-6230
Fax:  +44-207-594-6234
Supervisor: Patrick A. Naylor

 

RESEARCH INTEREST

Vincent’s research interest focuses on Polynomial Matrix Decomposition (PMD) / Polynomial matrix Eigenvalue Decomposition (PEVD) and adaptive signal processing for speech, audio and acoustics applications.

 

PUBLICATIONS

[1] V. W. Neo, C. Evers, and P. A. Naylor, “PEVD-based speech enhancement in reverberant environments,” in Proc. IEEE Intl. Conf. on Acoust., Speech and Signal Process. (ICASSP), May 2020.

[2] V. W. Neo, C. Evers, and P. A. Naylor, “Speech enhancement using polynomial eigenvalue decomposition,” in Proc. IEEE Workshop on Applications of Signal Process. to Audio and Acoust. (WASPAA), Oct. 2019.

[3] V. W. Neo and P. A. Naylor, “Second order sequential best rotation algorithm with Householder transformation for polynomial matrix eigenvalue decomposition,” in Proc. IEEE Intl. Conf. on Acoust., Speech and Signal Process. (ICASSP), May 2019.

 

SUPPLEMENTARY MATERIALS

[1] ICASSP 2020 Talk: [Slides will be made available] and Listening examples

[2] WASPAA 2019 Talk: [WASPAA]_Speech_Enhancement_Using_PEVD_handout and Listening examples

[3] ICASSP 2019 Talk: [ICASSP19]_SBR2_with_Householder