Vincent Neo

Vincent_Neo

Vincent W. Neo

Research Postgraduate

Room 809
Electrical & Electronic Engineering
Imperial College London
London SW7 2AZ, U.K.

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

ResearchGate | ORCID | Personal Webpage

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] Vincent W. Neo, Christine Evers, and Patrick A. Naylor, “Polynomial matrix eigenvalue decomposition of spherical harmonics for speech enhancement,” in Proc. IEEE Intl. Conf. on Acoust., Speech and Signal Process. (ICASSP), Jun. 2021.

Listening Examples

[2] Vincent W. Neo, Christine Evers, and Patrick A. Naylor, “Speech dereverberation performance of a polynomial-EVD subspace approach,” in Proc. Eur. Signal Process. Conf. (EUSIPCO), 2020.

Paper  | Slides | Listening Examples

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

Paper  | Slides | Listening Examples

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

Paper | Slides | Listening Examples

[5] Vincent W. Neo and Patrick 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.

Paper | Slides

VIDEO TALKS

[1] “Polynomial matrix eigenvalue decomposition of spherical harmonics for speech enhancement,” Acoustic Sensor Array Processing 2: Beamforming, ICASSP 2021.

[2] “Speech dereverberation performance of a polynomial-EVD subspace approach,” Microphone Array Processing Lecture, EUSIPCO 2020.

[3] “PEVD-based speech enhancement in reverberant environments,” Signal Enhancement and Restoration Lecture, ICASSP 2020.

[4] “Speech enhancement using polynomial eigenvalue decomposition,” Microphone and Loudspeaker Arrays Lecture, WASPAA 2019.

[5] “Second order sequential best rotation algorithm with Householder transformation for polynomial matrix eigenvalue decomposition,” Parahermitian Matrix Factorizations and their Applications Special Session Lecture, ICASSP 2019.