M. Mak

发表

THE MULTI-BIOMETRIC , MULTI-DEVICE AND MULTILINGUAL ( M 3 ) CORPUS

Xiaoou Tang, P. Ching, H. Meng, 2006 .

Likelihood-ratio empirical kernels for i-vector based PLDA-SVM scoring

Man-Wai Mak, Wei Rao, M. Mak, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Robust Voice Activity Detection for Interview Speech in NIST Speaker Recognition Evaluation

M. Mak, Hongjiang Yu, 2010 .

Biometric Authentication: A Machine Learning Approach

Sun-Yuan Kung, Man-Wai Mak, S. H. Lin, 2004 .

Exploring the effects of Lamarckian and Baldwinian learning in evolving recurrent neural networks

Man-Wai Mak, K.W.C. Ku, M. Mak, 1997, Proceedings of 1997 IEEE International Conference on Evolutionary Computation (ICEC '97).

A Cellular Genetic Algorithm for training Recurrent Neural Networks

M. Mak, K. Ku, C. W, 1995 .

Environment adaptation for robust speaker verification by cascading maximum likelihood linear regression and reinforced learning

Sun-Yuan Kung, Man-Wai Mak, Kwok-Kwong Yiu, 2007, Comput. Speech Lang..

Adding Learning to Cellular Genetic Algorithms for Training Recurrent Neural Networks

M. Mak, W. Siu, K. Ku, 1999 .

Empirical Analysis of the Factors That Aaect the Baldwin Eeect

M. Mak, K. Ku, Kim W C Ku, 1998 .

GOASVM: a subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition.

S. Kung, M. Mak, Shibiao Wan, 2013, Journal of theoretical biology.

Estimation of Elliptical Basis Function Parameters by the Em Algorithm with Application to Speaker Veriication (final Version) Paper No.: Tnna069

M. Mak, S. Kung, 2000 .

Gaussian Models for CSI Fingerprinting in Practical Indoor Environment Identification

Josyl Mariela B. Rocamora, M. Mak, I. W. Ho, 2020, GLOBECOM 2020 - 2020 IEEE Global Communications Conference.

Determining the Optimal Numberof Clusters by an Extended Rpcl Algorithm (revised Version)

Chi-Kwong Li, M. Mak, Xin Li, 1999 .

Adversarial Separation and Adaptation Network for Far-Field Speaker Verification

M. Mak, Yi Lu, 2020 .

Conditional random fields for the prediction of signal peptide cleavage sites

Sun-Yuan Kung, Man-Wai Mak, S. Kung, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

HybridGO-Loc: Mining Hybrid Features on Gene Ontology for Predicting Subcellular Localization of Multi-Location Proteins

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2014, PloS one.

mLASSO-Hum: A LASSO-based interpretable human-protein subcellular localization predictor.

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2015, Journal of theoretical biology.

Eukaryotic Protein Subcellular Localization Based on Local Pairwise Profile Alignment SVM

Man-Wai Mak, Sun-Yuan Rung, Jian Guo, 2006, 2006 16th IEEE Signal Processing Society Workshop on Machine Learning for Signal Processing.

Adversarial Separation and Adaptation Network for Far-Field Speaker Verification

Man-Wai Mak, Lu Yi, M. Mak, 2020, INTERSPEECH.

Improved Real Time Recurrent Learning Algorithms : a Review and some New Approaches

M. Mak, K. Ku, Y. Lu, 1995 .

Determination of a Priori Decision Thresholds for Phrase-prompted Speaker Veriication

M. X. He, M. Mak, W. D. Zhang, 2000 .

I-Vector-Based Patient Adaptation of Deep Neural Networks for Automatic Heartbeat Classification

Man-Wai Mak, Sean Shensheng Xu, Chi-Chung Cheung, 2020, IEEE Journal of Biomedical and Health Informatics.

Inter-patient ECG classification with i-vector based unsupervised patient adaptation

Sean Shensheng Xu, M. Mak, Chunqi Chang, 2022, Expert Syst. Appl..

Dual Dropout Ranking of Linguistic Features for Alzheimer's Disease Recognition

H. Meng, M. Mak, Xiaoquan Ke, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Speaker Turn Aware Similarity Scoring for Diarization of Speech-Based Cognitive Assessments

Sean Shensheng Xu, H. Meng, M. Mak, 2021, 2021 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Machine Learning for Multi-modality Genomic Signal Processing 1. Multi-modality Fusion for Genomic Signal

M. Mak, 2006 .

Special issue on semantic data analytics and bioinformatics

Haiying Wang, Man-Wai Mak, Hui Wang, 2017, Int. J. Mach. Learn. Cybern..

Discriminative Speaker Representation via Contrastive Learning with Class-Aware Attention in Angular Space

Helen M. Meng, M. Mak, Zhe Li, 2022, ArXiv.

Speaker Representation Learning via Contrastive Loss with Maximal Speaker Separability

M. Mak, Zhe Li, 2022, 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC).

Noise robust speaker verification via the fusion of SNR-independent and SNR-dependent PLDA

M. Mak, Xiaomin Pang, 2015, International Journal of Speech Technology.

Guest Editorial: Modern Speech Processing and Learning

Man-Wai Mak, Jen-Tzung Chien, M. Mak, 2020, Journal of Signal Processing Systems.

Deep Learning Models

M. Mak, Jen-Tzung Chien, 2020, Machine Learning for Speaker Recognition.

Machine Learning for Speaker Recognition

Man-Wai Mak, Jen-Tzung Chien, M. Mak, 2020 .

Unsupervised Domain Adaptation for Gender-Aware PLDA Mixture Models

Man-Wai Mak, Longxin Li, M. Mak, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Mixture of PLDA for Noise Robust I-Vector Speaker Verification

Jen-Tzung Chien, Man-Wai Mak, Xiaomin Pang, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Fast subcellular localization by cascaded fusion of signal-based and homology-based methods

Sun-Yuan Kung, Man-Wai Mak, Wei Wang, 2011, Proteome Science.

Predicting subcellular localization of multi-location proteins by improving support vector machines with an adaptive-decision scheme

Shibiao Wan, Man-Wai Mak, M. Mak, 2015, International Journal of Machine Learning and Cybernetics.

Estimation of elliptical basis function parameters by the EM algorithm with application to speaker verification

Sun-Yuan Kung, Man-Wai Mak, S. Kung, 2000, IEEE Trans. Neural Networks Learn. Syst..

Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification: A Comparative Study

Man-Wai Mak, Chi-Kwong Li, Kwok-Kwong Yiu, 1999, Neural Computing & Applications.

Knowledge Incorporation Through Lifetime Learning

Man-Wai Mak, Kim W. C. Ku, M. Mak, 2005 .

Approaches to combining local and evolutionary search for training neural networks: a review and some new results

Kim W. C. Ku, W. C. Siu, Man-Wai Mak, 2003 .

Speeding up subcellular localization by extracting informative regions of protein sequences for profile alignment

Sun-Yuan Kung, Wei Wang, Man-Wai Mak, 2010, 2010 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

PairProSVM: Protein Subcellular Localization Based on Local Pairwise Profile Alignment and SVM

Sun-Yuan Kung, Man-Wai Mak, Jian Guo, 2008, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Empirical Analysis of the Factors that Affect the Baldwin Effect

Man-Wai Mak, Kim W. C. Ku, M. Mak, 1998, PPSN.

Elliptical basis function networks and radial basis function networks for speaker verification: a comparative study

Man-Wai Mak, C. K. Li, M. Mak, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Fusion of Conditional Random Field and SignalP for Protein Cleavage Site Prediction

Sun-Yuan Kung, Man-Wai Mak, Wei Wang, 2009 .

Gram-LocEN: Interpretable prediction of subcellular multi-localization of Gram-positive and Gram-negative bacterial proteins

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2017 .

Ensemble Linear Neighborhood Propagation for Predicting Subchloroplast Localization of Multi-Location Proteins.

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2016, Journal of proteome research.

Mem-mEN: Predicting Multi-Functional Types of Membrane Proteins by Interpretable Elastic Nets

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Mem-ADSVM: A two-layer multi-label predictor for identifying multi-functional types of membrane proteins.

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2016, Journal of theoretical biology.

Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2016, BMC Bioinformatics.

mPLR-Loc: an adaptive decision multi-label classifier based on penalized logistic regression for protein subcellular localization prediction.

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2015, Analytical biochemistry.

R3P-Loc: a compact multi-label predictor using ridge regression and random projection for protein subcellular localization.

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2014, Journal of theoretical biology.

GOASVM: Protein subcellular localization prediction based on Gene ontology annotation and SVM

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2012, ICASSP.

2011 Ieee International Workshop on Machine Learning for Signal Processing Protein Subcellular Localization Prediction Based on Profile Alignment and Gene Ontology

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2022 .

Fusion of cleavage site detection and pairwise alignment for fast subcellular localization

Sun-Yuan Kung, Man-Wai Mak, S. Kung, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

PDA-SVM Hybrid: A Unified Model for Kernel-Based Supervised Classification

Sun-Yuan Kung, Man-Wai Mak, S. Kung, 2011, J. Signal Process. Syst..

Boosting the Performance of I-Vector Based Speaker Verification via Utterance Partitioning

Man-Wai Mak, Wei Rao, M. Mak, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Lip-motion analysis for speech segmentation in noise

Man-Wai Mak, W. G. Allen, M. Mak, 1994, Speech Commun..

DNN-Based Score Calibration With Multitask Learning for Noise Robust Speaker Verification

Man-Wai Mak, Brian Kan-Wing Mak, Zhili Tan, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

i-Vector DNN Scoring and Calibration for Noise Robust Speaker Verification

Man-Wai Mak, Zhili Tan, M. Mak, 2017, INTERSPEECH.

mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2012, BMC Bioinformatics.

Adding learning to cellular genetic algorithms for training recurrent neural networks

Wan-Chi Siu, Man-Wai Mak, Kim W. C. Ku, 1999, IEEE Trans. Neural Networks.

Training neurocontrollers by local and evolutionary search

Man-Wai Mak, Kim W. C. Ku, M. Mak, 2000, Proceedings of the 2000 Congress on Evolutionary Computation. CEC00 (Cat. No.00TH8512).

A study of the Lamarckian evolution of recurrent neural networks

Wan-Chi Siu, Man-Wai Mak, Kim W. C. Ku, 2000, IEEE Trans. Evol. Comput..

Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations

M. Mak, Wei-wei Lin, Chenhang He, 2023, ArXiv.

A Survey on Text-Dependent and Text-Independent Speaker Verification

M. Mak, Wei-wei Lin, Youzhi Tu, 2022, IEEE Access.

Fast Scoring for PLDA with Uncertainty Propagation

Man-Wai Mak, Wei-Wei Lin, M. Mak, 2016, Odyssey.

Improving Speech Emotion Recognition With Adversarial Data Augmentation Network

Man-Wai Mak, Lu Yi, M. Mak, 2020, IEEE Transactions on Neural Networks and Learning Systems.

UNet-DenseNet for Robust Far-Field Speaker Verification

M. Mak, Wei-wei Lin, Zhenke Gao, 2022, INTERSPEECH.

Aggregating Frame-Level Information in the Spectral Domain With Self-Attention for Speaker Embedding

Man-Wai Mak, Youzhi Tu, M. Mak, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Mixture Representation Learning for Deep Speaker Embedding

M. Mak, Wei-wei Lin, 2022, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Mutual Information Enhanced Training for Speaker Embedding

M. Mak, Youzhi Tu, 2021, Interspeech.

Short-Time Spectral Aggregation for Speaker Embedding

Man-Wai Mak, Youzhi Tu, M. Mak, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Learning Mixture Representation for Deep Speaker Embedding Using Attention

Man-Wai Mak, Weiwei Lin, Lu Yi, 2020, Odyssey.

Variational Domain Adversarial Learning for Speaker Verification

Jen-Tzung Chien, Man-Wai Mak, Youzhi Tu, 2019, INTERSPEECH.

Utterance partitioning with acoustic vector resampling for GMM-SVM speaker verification

Man-Wai Mak, Wei Rao, M. Mak, 2011, Speech Commun..

Channel Interdependence Enhanced Speaker Embeddings for Far-Field Speaker Verification

Man-Wai Mak, Ling-jun Zhao, M. Mak, 2021, 2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP).

Variational Domain Adversarial Learning With Mutual Information Maximization for Speaker Verification

Man-Wai Mak, Jen-Tzung Chien, Youzhi Tu, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Contrastive Adversarial Domain Adaptation Networks for Speaker Recognition

M. Mak, Jen-Tzung Chien, Longxin Li, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Multisource I-Vectors Domain Adaptation Using Maximum Mean Discrepancy Based Autoencoders

Jen-Tzung Chien, Man-Wai Mak, Wei-wei Lin, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Speaker Verification via High-Level Feature Based Phonetic-Class Pronunciation Modeling

Man-Wai Mak, Shi-Xiong Zhang, Helen M. Meng, 2007, IEEE Transactions on Computers.

Applying articulatory features to telephone-based speaker verification

Sun-Yuan Kung, Man-Wai Mak, Ka-Yee Leung, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Robust Speaker Verification Using Population-Based Data Augmentation

M. Mak, Wei-wei Lin, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Towards End-to-End ECG Classification With Raw Signal Extraction and Deep Neural Networks

Man-Wai Mak, Sean Shensheng Xu, Chi-Chung Cheung, 2019, IEEE Journal of Biomedical and Health Informatics.

Deep neural networks versus support vector machines for ECG arrhythmia classification

Man-Wai Mak, Sean Shensheng Xu, Chi-Chung Cheung, 2017, 2017 IEEE International Conference on Multimedia & Expo Workshops (ICMEW).

Cluster-Guided Unsupervised Domain Adaptation for Deep Speaker Embedding

M. Mak, Fenglu Hong, Haiquan Mao, 2023, IEEE Signal Processing Letters.

Disentangled Speaker Embedding for Robust Speaker Verification

M. Mak, Lu Yi, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Discriminative Speaker Representation via Contrastive Learning with Class-Aware Attention in Angular Space

Helen M. Meng, M. Mak, Zhe Li, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automatic Selection of Discriminative Features for Dementia Detection in Cantonese-Speaking People

Helen M. Meng, M. Mak, Xiaoquan Ke, 2022, INTERSPEECH.

Feature Selection for Genomic Signal Processing: Unsupervised, Supervised, and Self-Supervised Scenarios

Sun-Yuan Kung, Man-Wai Mak, Yuhui Luo, 2010, J. Signal Process. Syst..

A Solution to the Curse of Dimensionality Problem in Pairwise Scoring Techniques

Sun-Yuan Kung, Man-Wai Mak, S. Kung, 2006, ICONIP.

Sound-event partitioning and feature normalization for robust sound-event detection

Man-Wai Mak, Baiying Lei, M. Mak, 2014, 2014 19th International Conference on Digital Signal Processing.

SNR-Invariant Multitask Deep Neural Networks for Robust Speaker Verification

Man-Wai Mak, Qi Yao, M. Mak, 2018, IEEE Signal Processing Letters.

Denoised Senone I-Vectors for Robust Speaker Verification

Man-Wai Mak, Brian Kan-Wing Mak, Zhili Tan, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Deep neural network driven mixture of PLDA for robust i-vector speaker verification

Jen-Tzung Chien, Man-Wai Mak, Na Li, 2016, 2016 IEEE Spoken Language Technology Workshop (SLT).

A conjugate gradient learning algorithm for recurrent neural networks

Man-Wai Mak, Wing-Fai Chang, M. Mak, 1999, Neurocomputing.

Age-Invariant Speaker Embedding for Diarization of Cognitive Assessments

Man-Wai Mak, Sean Shensheng Xu, Helen M. Meng, 2021, 2021 12th International Symposium on Chinese Spoken Language Processing (ISCSLP).

Wav2Spk: A Simple DNN Architecture for Learning Speaker Embeddings from Waveforms

Man-Wai Mak, Weiwei Lin, M. Mak, 2020, INTERSPEECH.

SNR-Invariant PLDA Modeling in Nonparametric Subspace for Robust Speaker Verification

Man-Wai Mak, Na Li, M. Mak, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

DNN-Driven Mixture of PLDA for Robust Speaker Verification

Jen-Tzung Chien, Man-Wai Mak, Na Li, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

SNR-invariant PLDA with multiple speaker subspaces

Man-Wai Mak, Na Li, M. Mak, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Normalization of total variability matrix for i-vector/PLDA speaker verification

Kong-Aik Lee, Man-Wai Mak, Wei Rao, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Truncation of protein sequences for fast profile alignment with application to subcellular localization

Sun-Yuan Kung, Wei Wang, Man-Wai Mak, 2010, 2010 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Benchmark data for identifying multi-functional types of membrane proteins

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2016, Data in brief.

Predicting subcellular localization of multi-location proteins by improving support vector machines with an adaptive-decision scheme

M. Mak, Shibiao Wan, 2015, International Journal of Machine Learning and Cybernetics.

Machine Learning for Protein Subcellular Localization Prediction

Shibiao Wan, Man-Wai Mak, M. Mak, 2015 .

Ensemble random projection for multi-label classification with application to protein subcellular localization

Sun-Yuan Kung, Yue Wang, Shibiao Wan, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An ensemble classifier with random projection for predicting multi-label protein subcellular localization

Sun-Yuan Kung, Yue Wang, Shibiao Wan, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2013 .

Adaptive thresholding for multi-label SVM classification with application to protein subcellular localization prediction

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Speaker identification using multilayer perceptrons and radial basis function networks

Man-Wai Mak, W. G. Allen, G. G. Sexton, 1994, Neurocomputing.

Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins

S. Kung, M. Mak, Shibiao Wan, 2016, BMC Bioinformatics.

Robust scream sound detection via sound event partitioning

M. Mak, Baiying Lei, 2015, Multimedia Tools and Applications.

Low-power SVM classifiers for sound event classification on mobile devices

Sun-Yuan Kung, Man-Wai Mak, S. Kung, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Patient-Specific Heartbeat Classification Based on I-Vector Adapted Deep Neural Networks

Man-Wai Mak, Sean Shensheng Xu, Chi-Chung Cheung, 2018, 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Transductive Learning for Multi-Label Protein Subchloroplast Localization Prediction

Sun-Yuan Kung, Shibiao Wan, Man-Wai Mak, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A new adaptation approach to high-level speaker-model creation in speaker verification

Man-Wai Mak, Shi-Xiong Zhang, M. Mak, 2009, Speech Commun..

SNR-dependent mixture of PLDA for noise robust speaker verification

Man-Wai Mak, M. Mak, 2014, INTERSPEECH.

On the improvement of the real time recurrent learning algorithm for recurrent neural networks

Man-Wai Mak, Yee-Ling Lu, Kim-Wing Ku, 1999, Neurocomputing.

Progression-Guided Temporal Action Detection in Videos

Z. Chi, M. Mak, Hong Fu, 2023, ArXiv.

Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations

M. Mak, Wei-wei Lin, Chenhang He, 2023, ICML.

Asymmetric Clean Segments-Guided Self-Supervised Learning for Robust Speaker Verification

Jen-Tzung Chien, M. Mak, Wei-wei Lin, 2023, 2309.04265.

Maximum Likelihood and Maximum a Posteriori Adaptation for Distributed Speaker Recognition Systems

Sun-Yuan Kung, Man-Wai Mak, Chin-Hung Sit, 2004, ICBA.

Extraction of Speaker Features from Different Stages of DSR Front-Ends for Distributed Speaker Verification

Sun-Yuan Kung, Man-Wai Mak, Chin-Hung Sit, 2005, Int. J. Speech Technol..

Frame-Based SEMG-to-Speech Conversion

Man-Wai Mak, Yuet-Ming Lam, P.H.-W. Leong, 2006, 2006 49th IEEE International Midwest Symposium on Circuits and Systems.

Speech synthesis from surface electromyogram signal

Man-Wai Mak, Yuet-Ming Lam, Philip Heng-Wai Leong, 2005, Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005..

A Framework for Adapting DNN Speaker Embedding Across Languages

Man-Wai Mak, Na Li, Weiwei Lin, 2020, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

A Comparative Study of Acoustic and Linguistic Features Classification for Alzheimer's Disease Detection

Man-Wai Mak, Brian Kan-Wing Mak, Xunying Liu, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Fingerprint Quality Classification for CSI-based Indoor Positioning Systems

Man-Wai Mak, Ivan Wang Hei Ho, Josyl Mariela Rocamora, 2019, PERSIST-IoT '19.

THE MULTI-BIOMETRIC , MULTI-DEVICE AND MULTILINGUAL ( M 3 ) CORPUS

Xiaoou Tang, P. Ching, H. Meng, 2006 .

Reducing Domain Mismatch by Maximum Mean Discrepancy Based Autoencoders

Jen-Tzung Chien, Man-Wai Mak, Wei-Wei Lin, 2018, Odyssey.

Information Maximized Variational Domain Adversarial Learning for Speaker Verification

Man-Wai Mak, Jen-Tzung Chien, Youzhi Tu, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Integrated and Enhanced Pipeline System to Support Spoken Language Analytics for Screening Neurocognitive Disorders

Helen M. Meng, M. Mak, B. Mak, 2023, INTERSPEECH.