Curriculum Vitae

Education

• PhD in Electrical & Electronic Engineering, Imperial College London, UK
  • Thesis: Theory of Polynomial Matrix Eigenvalue Decomposition with Applications to Speech and Acoustics Signal Processing
  • Supervisor: Prof. Patrick A. Naylor (Imperial College London, UK)
  • Examiners: Prof. Marc Moonen (KU Leuven, Belgium), Prof. Danilo P. Mandic (Imperial College London, UK)
• M. Eng in Electrical & Electronic Engineering, Imperial College London, UK

Work experience

• Postdoctoral Researcher, Imperial College London, UK
  • Research interests: Theory and applications of polynomial matrix eigenvalue decomposition (PEVD)
• Graduate Teaching Assistant, Imperial College London, UK
  • Laboratory demonstrator, tutor and teaching assistant for undergraduate and postgraduate students.
  • Duties included: Demonstration, teaching, marking and assessment.
• Senior Engineer, Defence Science & Technology Agency, Singapore
  • Software developer for customised applications including in-house development and integration with open-source and commercial-off-the-shelf tools.
• Research Intern, Nuance Communications, UK
  • Joined the Voicemail-to-Text & Speech Quality Assessment team
  • Developed a low-complexity speech quality assessment model and a non-intrusive Perceptual Evaluator of Speech Quality (PESQ) estimator deployed live in the telecommunication product.
• Undergraduate Research Opportunity Programme (UROP) Student, Imperial College London, UK
  • Participated in regular meetings involving technical discussions, talks and sharing with the Speech and Audio Processing (SAP) lab.
• Engineering Intern, Defence Science & Technology Agency, Singapore
  • Developed speech-to-text and analytics software tools for business intelligence.

Scholarships and Awards

• Travel Award (Major), IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)
• Postgraduate Scholarship (Overseas), Defence Science & Technology Agency, Singapore
• Undergraduate Scholarship (Overseas), Defence Science & Technology Agency, Singapore

Skills

• C, C++, Java, MATLAB, Python
• Web development
  • HTML, CSS, JS
• Database
  • MySQL

Publications

Second Order Sequential Best Rotation (SBR2) Algorithm With Householder Transformation for Polynomial Matrix Eigenvalue Decomposition (PEVD)

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.

Speech Enhancement Using Polynomial Eigenvalue Decomposition

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.

PEVD-based Speech Enhancement in Reverberant Environments

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.

Speech Dereverberation Performance of a Polynomial-EVD Subspace Approach

V. W. Neo, C. Evers, and P. A. Naylor, "Speech dereverberation performance of a polynomial-EVD subspace approach," in Proc. Eur. Signal Process. Conf. (EUSIPCO), Aug. 2020.

Polynomial Matrix Eigenvalue Decomposition of Spherical Harmonics for Speech Enhancement

V. W. Neo, C. Evers, and P. A. Naylor, "Polynomial matrix eigenvalue decomposition of spherical harmonics for speech enhancement," in Proc. Intl. Conf. on Acoust., Speech and Signal Process. (ICASSP), Jun. 2021.

Polynomial Matrix Eigenvalue Decomposition-Based Source Separation Using Informed Spherical Microphone Arrays

V. W. Neo, C. Evers and P. A. Naylor, "Polynomial matrix eigenvalue decomposition-based source separation using informed spherical microphone arrays," in Proc. IEEE Workshop on Applications of Signal Process. to Audio and Acoust. (WASPAA), Oct. 2021.

A Polynomial Eigenvalue Decomposition MUSIC Approach for Broadband Sound Source Localization

A. O. T. Hogg, V. W. Neo, C. Evers and P. A. Naylor, "A polynomial eigenvalue decomposition MUSIC approach for broadband sound source localization," in Proc. IEEE Workshop on Applications of Signal Process. to Audio and Acoust. (WASPAA), Oct. 2021.

A Study of Salient Modulation Domain Features for Speaker Identification

S. W. McKnight, A. O. T. Hogg, V. W. Neo, and P. A. Naylor, "A study of salient modulation domain features for speaker identification," in Proc. Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Dec. 2021.

Enhancement of Noisy Reverberant Speech Using Polynomial Matrix Eigenvalue Decomposition

V. W. Neo, C. Evers, and P. A. Naylor, "Enhancement of noisy reverberant speech using polynomial matrix eigenvalue decomposition," IEEE/ACM Trans. Audio, Speech and Lang. Process., vol. 28, 2021. doi: 10.1109/TASLP.2021.3120630

Speech Enhancement in Distributed Microphone Arrays Using Polynomial Eigenvalue Decomposition

E. d'Olne, V. W. Neo, C. Evers, and P. A. Naylor, "Speech enhancement in distributed microphone arrays using polynomial eigenvalue decomposition," in Proc. Eur. Signal Process. Conf., Aug. 2022.

Polynomial Eigenvalue Decomposition-based Target Speaker Voice Activity Detection in the Presence of Competing Talkers

V. W. Neo, S. Weiss, S. W. McKnight, A. O. T. Hogg, and P. A. Naylor, "Polynomial eigenvalue decomposition-based target speaker voice activity detection in the presence of competing talkers," in Proc. Int. Workshop on Acoust. Signal Enhancement (IWAENC), Sep. 2022.

Frame-based Space-time Covariance Matrix Estimation for Polynomial Eigenvalue Decomposition-based Speech Enhancement

E. d'Olne, V. W. Neo, and P. A. Naylor, "Frame-based space-time covariance matrix estimation for polynomial eigenvalue decomposition-based speech enhancement," in Proc. Int. Workshop on Acoust. Signal Enhancement (IWAENC), Sep. 2022.

Fixed Beamformer Design Using Polynomial Eigenvalue Decomposition

V. W. Neo, E. d'Olne, A. H. Moore, and P. A. Naylor, "Fixed beamformer design using polynomial eigenvalue decomposition," in Proc. Int. Workshop on Acoust. Signal Enhancement (IWAENC), Sep. 2022.

A Polynomial Subspace Projection Approach for the Detection of Weak Voice Activity

V. W. Neo, S. Weiss, and P. A. Naylor, "A polynomial subspace projection approach for the detection of weak voice activity," in Proc. Sensor Signal Proc. for Defence Conf. (SSPD), Sep. 2022.

Studying Human-Based Speaker Diarization and Comparing to State-of-the-Art Systems

S. W. McKnight, A. O. T. Hogg, V. W. Neo, and P. A. Naylor, "Studying human-based speaker diarization and comparing to state-of-the-art systems," in Proc. Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Nov. 2022.

Dual Input Neural Networks for Positional Sound Source Localization

E. Grinstein, V. W. Neo, and P. A. Naylor, "Dual input neural networks for positional sound source localization," EURASIP J. Audio, Speech, and, Music Process., vol. 32, Aug. 2023, pp. 1-12, https://doi.org/10.1186/s13636-023-00301-x

Signal Compaction Using PEVD for Spherical Array Processing with Applications

V. W. Neo, C. Evers, S.Weiss, and P. A. Naylor, "Signal compaction using PEVD for spherical array processing with applications," IEEE/ACM Trans. Audio, Speech and Lang. Process., vol. 28, 2023. doi: 10.1109/TASLP.2023.3313441

Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing

V. W. Neo, S. Redif, J. G. McWhirter, J. Pestana, I. K. Proudler, S. Weiss, and P. A. Naylor, "Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing", IEEE Signal Process. Mag., vol. 40, no. 7, 2023. doi: 10.1109/MSP.2023.3269200

Talks

Second order sequential best rotation algorithm with Householder transformation for polynomial matrix eigenvalue decomposition

May 16, 2019

Parahermitian Matrix Factorizations and their Applications Special Session Lecture at ICASSP, Brighton, U.K.

Speech enhancement using polynomial eigenvalue decomposition

October 21, 2019

Microphone and Loudspeaker Arrays Lecture at WASPAA, New York, U.S.A.

PEVD-based speech enhancement in reverberant environments

May 07, 2020

Signal Enhancement and Restoration Lecture at ICASSP, Barcelona, Spain

Speech dereverberation performance of a polynomial-EVD subspace approach

January 20, 2021

Signal Enhancement and Restoration Poster Talk at EUSIPCO, Amsterdam, The Netherlands

Polynomial matrix eigenvalue decomposition of spherical harmonics for speech enhancement

June 11, 2021

Acoustic Sensor Array Processing 2: Beamforming at ICASSP, Toronto, Canada

Polynomial matrix eigenvalue decomposition-based source separation using informed spherical microphone arrays

October 19, 2021

Array Processing, Room Acoustics, Spatial Audio, and Audio Events at WASPAA, New York, USA

A polynomial subspace projection approach for the detection of weak voice activity

September 14, 2022

Radar, Sonar and Acoustic at SSPD, London, UK

T2: Applications of PEVD to Multichannel Broadband Signal Processing, Part IV: Speech Processing Applications

September 04, 2023

EUSIPCO Tutorial at EUSIPCO, Helsinki, Finland

Teaching

Mathematics: Principles and Engineering Applications

MSc. Communications and Signal Processing Laboratory

Introduction to Signals & Communications

Signals & Systems