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ORCIDVincent W. Neo
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2020 – today
- 2024
[c13]Emilie D'Olne, Vincent W. Neo, Patrick A. Naylor:
Latency-Agnostic Speech Enhancement for Wireless Acoustic Sensor Networks Using Polynomial Eigenvalue Decomposition. IWAENC 2024: 235-239- 2023
- [j4]Eric Grinstein
, Vincent W. Neo, Patrick A. Naylor:
Dual input neural networks for positional sound source localization. EURASIP J. Audio Speech Music. Process. 2023(1): 32 (2023) - [j3]Vincent W. Neo, Soydan Redif, John G. McWhirter, Jennifer Pestana, Ian K. Proudler, Stephan Weiss, Patrick A. Naylor:
Polynomial Eigenvalue Decomposition for Multichannel Broadband Signal Processing: A mathematical technique offering new insights and solutions. IEEE Signal Process. Mag. 40(7): 18-37 (2023) - [j2]Vincent W. Neo, Christine Evers, Stephan Weiss, Patrick A. Naylor:
Signal Compaction Using Polynomial EVD for Spherical Array Processing With Applications. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3537-3549 (2023) - [i2]Eric Grinstein, Vincent W. Neo, Patrick A. Naylor:
Dual input neural networks for positional sound source localization. CoRR abs/2308.04169 (2023) - [i1]Simon W. McKnight, Aidan O. T. Hogg, Vincent W. Neo, Patrick A. Naylor:
Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification. CoRR abs/2312.16763 (2023) - 2022
- [c12]Emilie D'Olne, Vincent W. Neo, Patrick A. Naylor:
Speech Enhancement in Distributed Microphone Arrays Using Polynomial Eigenvalue Decomposition. EUSIPCO 2022: 55-59 - [c11]Emilie D'Olne, Vincent W. Neo, Patrick A. Naylor:
Frame-Based Space-Time Covariance Matrix Estimation for Polynomial Eigenvalue Decomposition-Based Speech Enhancement. IWAENC 2022: 1-5 - [c10]Vincent W. Neo, Stephan Weiss, Simon W. McKnight, Aidan O. T. Hogg, Patrick A. Naylor:
Polynomial Eigenvalue Decomposition-Based Target Speaker Voice Activity Detection in the Presence of Competing Talkers. IWAENC 2022: 1-5 - [c9]Vincent W. Neo, Emilie D'Olne, Alastair H. Moore, Patrick A. Naylor:
Fixed Beamformer Design Using Polynomial Eigenvalue Decomposition. IWAENC 2022: 1-5 - 2021
- [j1]Vincent W. Neo, Christine Evers, Patrick A. Naylor:
Enhancement of Noisy Reverberant Speech Using Polynomial Matrix Eigenvalue Decomposition. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3255-3266 (2021) - [c8]Simon W. McKnight, Aidan O. T. Hogg, Vincent W. Neo, Patrick A. Naylor:
A Study of Salient Modulation Domain Features for Speaker Identification. APSIPA ASC 2021: 705-712 - [c7]Vincent W. Neo, Christine Evers, Patrick A. Naylor:
Polynomial Matrix Eigenvalue Decomposition of Spherical Harmonics for Speech Enhancement. ICASSP 2021: 786-790 - [c6]Vincent W. Neo, Christine Evers, Patrick A. Naylor:
Polynomial Matrix Eigenvalue Decomposition-Based Source Separation Using Informed Spherical Microphone Arrays. WASPAA 2021: 201-205 - [c5]Aidan O. T. Hogg, Vincent W. Neo, Stephan Weiss, Christine Evers, Patrick A. Naylor:
A Polynomial Eigenvalue Decomposition Music Approach for Broadband Sound Source Localization. WASPAA 2021: 326-330 - 2020
- [c4]Vincent W. Neo, Christine Evers, Patrick A. Naylor:
Speech Dereverberation Performance of a Polynomial-EVD Subspace Approach. EUSIPCO 2020: 221-225 - [c3]Vincent W. Neo, Christine Evers, Patrick A. Naylor:
PEVD-Based Speech Enhancement in Reverberant Environments. ICASSP 2020: 186-190
2010 – 2019
- 2019
- [c2]Vincent W. Neo, Patrick A. Naylor:
Second Order Sequential Best Rotation Algorithm with Householder Reduction for Polynomial Matrix Eigenvalue Decomposition. ICASSP 2019: 8043-8047 - [c1]Vincent W. Neo, Christine Evers, Patrick A. Naylor:
Speech Enhancement Using Polynomial Eigenvalue Decomposition. WASPAA 2019: 125-129
Coauthor Index
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