Brian Mak

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 46

Top Venues

Publications

Ronglai Zuo, Brian Mak
Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal. ACM Trans. Multim. Comput. Commun. Appl. 20 (6) (2024)
Zhe Niu, Ronglai Zuo, Brian Mak, Fangyun Wei
A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News. CoRR (2024)
Ronglai Zuo, Fangyun Wei, Brian Mak
Towards Online Sign Language Recognition and Translation. CoRR (2024)
Ronglai Zuo, Fangyun Wei, Zenggui Chen, Brian Mak, Jiaolong Yang, Xin Tong
A Simple Baseline for Spoken Language to Sign Language Translation with 3D Avatars. CoRR (2024)
Zhe Niu, Ronglai Zuo, Brian Mak, Fangyun Wei
A Hong Kong Sign Language Corpus Collected from Sign-interpreted TV News. LREC/COLING (2024)
Ranzo Huang, Brian Mak
wav2vec 2.0 ASR for Cantonese-Speaking Older Adults in a Clinical Setting. INTERSPEECH (2023)
Zhe Niu, Brian Mak
On the Audio-visual Synchronization for Lip-to-Speech Synthesis. ICCV (2023)
Ronglai Zuo, Fangyun Wei, Brian Mak
Natural Language-Assisted Sign Language Recognition. CoRR (2023)
Helen Meng, Brian Mak, Man-Wai Mak, Helene H. Fung, Xianmin Gong, Timothy C. Y. Kwok, Xunying Liu, Vincent C. T. Mok, Patrick C. M. Wong, Jean Woo, Xixin Wu, Ka Ho Wong, Sean Shensheng Xu, Naijun Zheng, Ranzo Huang, Jiawen Kang, Xiaoquan Ke, Junan Li, Jinchao Li, Yi Wang
Integrated and Enhanced Pipeline System to Support Spoken Language Analytics for Screening Neurocognitive Disorders. INTERSPEECH (2023)
Yingke Zhu, Brian Mak
Bayesian Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Ronglai Zuo, Fangyun Wei, Brian Mak
Natural Language-Assisted Sign Language Recognition. CVPR (2023)
Zhe Niu, Brian Mak
On the Audio-visual Synchronization for Lip-to-Speech Synthesis. CoRR (2023)
Yutong Chen, Ronglai Zuo, Fangyun Wei, Yu Wu, Shujie Liu, Brian Mak
Two-Stream Network for Sign Language Recognition and Translation. CoRR (2022)
Yutong Chen, Ronglai Zuo, Fangyun Wei, Yu Wu, Shujie Liu, Brian Mak
Two-Stream Network for Sign Language Recognition and Translation. NeurIPS (2022)
Ronglai Zuo, Brian Mak
Local Context-aware Self-attention for Continuous Sign Language Recognition. INTERSPEECH (2022)
Ronglai Zuo, Brian Mak
SLR: Consistency-enhanced Continuous Sign Language Recognition. CVPR (2022)
Raymond Chung, Brian Mak
Synthesizing Near Native-accented Speech for a Non-native Speaker by Imitating the Pronunciation and Prosody of a Native Speaker. INTERSPEECH (2022)
Ronglai Zuo, Brian Mak
Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal. CoRR (2022)
Roshan Mathew, Brian Mak, Wendy Dannels
Access on Demand: Real-time, Multi-modal Accessibility for the Deaf and Hard-of-Hearing based on Augmented Reality. ASSETS (2022)
Grant Giesbrecht, Ariel Amsellem, Timo Bauer, Brian Mak, Brian Wynne, Zhihao Qin, Arun Persaud
Hardware-Control: Instrument control and automation package. J. Open Source Softw. 7 (72) (2022)
Xinyuan Yu, Brian Mak
Non-Parallel Many-To-Many Voice Conversion by Knowledge Transfer from a Text-To-Speech Model. ICASSP (2021)
Raymond Chung, Brian Mak
On-The-Fly Data Augmentation for Text-to-Speech Style Transfer. ASRU (2021)
Jinchao Li, Jianwei Yu, Zi Ye, Simon Wong, Man-Wai Mak, Brian Mak, Xunying Liu, Helen Meng
A Comparative Study of Acoustic and Linguistic Features Classification for Alzheimer's Disease Detection. ICASSP (2021)
Zhe Niu, Brian Mak
Stochastic Fine-Grained Labeling of Multi-state Sign Glosses for Continuous Sign Language Recognition. ECCV (16) (2020)
Yingke Zhu, Brian Mak
Orthogonal Training for Text-Independent Speaker Verification. ICASSP (2020)
Wei Li, Brian Mak
Transformer based Multilingual document Embedding model. CoRR (2020)
Zhaoyu Liu, Brian Mak
Multi-Lingual Multi-Speaker Text-to-Speech Synthesis for Voice Cloning with Online Speaker Enrollment. INTERSPEECH (2020)
Yingke Zhu, Brian Mak
Orthogonality Regularizations for End-to-End Speaker Verification. Odyssey (2020)
Yingke Zhu, Tom Ko, Brian Mak
Mixup Learning Strategies for Text-Independent Speaker Verification. INTERSPEECH (2019)
Hengguan Huang, Hao Wang, Brian Mak
Recurrent Poisson Process Unit for Speech Recognition. AAAI (2019)
Yingke Zhu, Tom Ko, David Snyder, Brian Mak, Daniel Povey
Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification. INTERSPEECH (2018)
Wei Li, Brian Mak
Fast derivation of neural network based document vectors with distance constraint and negative sampling. CoRR (2018)
Wei Li, Brian Mak
Fast Derivation of Cross-lingual Document Vectors from Self-attentive Neural Machine Translation Model. INTERSPEECH (2018)
Lahiru Samarakoon, Brian Mak, Khe Chai Sim
learning Effective Factorized Hidden Layer Bases Using Student-Teacher Training for LSTM Acoustic Model Adaptation. ICASSP (2018)
Lahiru Samarakoon, Brian Mak, Albert Y. S. Lam
Domain Adaptation of End-to-end Speech Recognition in Low-Resource Settings. SLT (2018)
Hengguan Huang, Brian Mak
WaveNet MH-SRU: Deep and Wide Multiple-history Simple Recurrent Unit for Speech Recognition. ISCSLP (2018)
Lahiru Samarakoon, Brian Mak, Albert Y. S. Lam
Subspace Based Sequence Discriminative Training of LSTM Acoustic Models with Feed-Forward Layers. ISCSLP (2018)
Ivan Fung, Brian Mak
Multi-Head Attention for End-to-End Neural Machine Translation. ISCSLP (2018)
Ivan Fung, Brian Mak
End-To-End Low-Resource Lip-Reading with Maxout Cnn and Lstm. ICASSP (2018)
Wei Li, Brian Mak
Derivation of Document Vectors from Adaptation of LSTM Language Model. EACL (2) (2017)
Lahiru Samarakoon, Brian Mak
Unsupervised adaptation of student DNNS learned from teacher RNNS for improved ASR performance. ASRU (2017)
Lahiru Samarakoon, Khe Chai Sim, Brian Mak
An investigation into learning effective speaker subspaces for robust unsupervised DNN adaptation. ICASSP (2017)
Yingke Zhu, Brian Mak
Speeding up softmax computations in DNN-based large vocabulary speech recognition by senone weight vector selection. ICASSP (2017)
Hengguan Huang, Brian Mak
To Improve the Robustness of LSTM-RNN Acoustic Models Using Higher-Order Feedback from Multiple Histories. INTERSPEECH (2017)
Lahiru Samarakoon, Brian Mak, Khe Chai Sim
Learning Factorized Transforms for Unsupervised Adaptation of LSTM-RNN Acoustic Models. INTERSPEECH (2017)
Yingke Zhu, Brian Mak
An investigation of adaptation techniques for building acoustic models for hearing-impaired children in a CAPT application. ISCSLP (2016)
Dongpeng Chen, Brian Mak
Distinct triphone acoustic modeling using deep neural networks. INTERSPEECH (2015)
Goh Wen Shyan, Brian Mak, Wong Chee Onn, Tan Yee Lyn, Tey Zi Ming
The harp of light: a musical string projection mapping. Advances in Computer Entertainment (2015)
Tom Ko, Brian Mak, Cheung-Chi Leung
Subspace Gaussian mixture model with state-dependent subspace dimensions. ICASSP (2014)
Dongpeng Chen, Brian Mak, Cheung-Chi Leung, Sunil Sivadas
Joint acoustic modeling of triphones and trigraphemes by multi-task learning deep neural networks for low-resource speech recognition. ICASSP (2014)
Dongpeng Chen, Brian Mak, Sunil Sivadas
Joint sequence training of phone and grapheme acoustic model based on multi-task learning deep neural networks. INTERSPEECH (2014)
Tom Ko, Brian Mak
Eigentriphones for Context-Dependent Acoustic Modeling. IEEE Trans. Speech Audio Process. 21 (6) (2013)
Dongpeng Chen, Brian Mak
Distinct triphone modeling by reference model weighting. ICASSP (2013)
Guoli Ye, Dongpeng Chen, Brian Mak
Transition probabilities are more important than we once thought. ICASSP (2012)
Brian Mak, Guoli Ye
Subspace high-density discrete hidden Markov model for automatic speech recognition. EUSIPCO (2012)
Brian Mak, Bin Ma
Welcome message from the technical program chairs. ISCSLP (2012)
Tom Ko, Brian Mak
Derivation of eigentriphones by weighted principal component analysis. ICASSP (2012)
Guoli Ye, Brian Mak
Speaker-ensemble hidden Markov modeling for automatic speech recognition. ISCSLP (2012)
Tom Ko, Brian Mak
Eigentriphones: A basis for context-dependent acoustic modeling. ICASSP (2011)
Tom Ko, Brian Mak
A Fully Automated Derivation of State-Based Eigentriphones for Triphone Modeling with No Tied States Using Regularization. INTERSPEECH (2011)
Tom Ko, Brian Mak
Improving speech recognition by explicit modeling of phone deletions. ICASSP (2010)
Guoli Ye, Brian Mak
The use of subvector quantization and discrete densities for fast GMM computation for speaker verification. INTERSPEECH (2010)
Brian Mak, Tom Ko
Problems of modeling phone deletion in conversational speech for speech recognition. ISCSLP (2010)
Guoli Ye, Brian Mak
Subvector-quantized high-density discrete hidden Markov model and its re-estimation. ISCSLP (2010)
Brian Mak, Tom Ko
Automatic estimation of decoding parameters using large-margin iterative linear programming. INTERSPEECH (2009)
Guoli Ye, Brian Mak, Man-Wai Mak
Fast GMM computation for speaker verification using scalar quantization and discrete densities. INTERSPEECH (2009)
Brian Mak, Benny Ng
Discriminative training by iterative linear programming optimization. ICASSP (2008)
Brian Mak, Tom Ko
Min-max discriminative training of decoding parameters using iterative linear programming. INTERSPEECH (2008)
Chien-Lin Huang, Bin Ma, Chung-Hsien Wu, Brian Mak, Haizhou Li
Robust speaker verification using short-time frequency with long-time window and fusion of multi-resolutions. INTERSPEECH (2008)
Kakeung Wong, Man-Hung Siu, Brian Mak
A model-based estimation of phonotactic language verification performance. INTERSPEECH (2007)
Xi Yang, Man-Hung Siu, Herbert Gish, Brian Mak
Boosting with anti-models for automatic language identification. INTERSPEECH (2007)
Yiu-Pong Lai, Man-Hung Siu, Brian Mak
Joint Optimization of the Frequency-Domain and Time-Domain Transformations in Deriving Generalized Static and Dynamic MFCCs. IEEE Signal Process. Lett. 13 (11) (2006)
Man-Hung Siu, Brian Mak, Wing-Hei Au
Minimization of Utterance Verification Error Rate as a Constrained Optimization Problem. IEEE Signal Process. Lett. 13 (12) (2006)
Ivor W. Tsang, James T. Kwok, Brian Mak, Kai Zhang, Jeffrey Junfeng Pan
Fast Speaker Adaption Via Maximum Penalized Likelihood Kernel Regression. ICASSP (1) (2006)
Brian Mak, Tsz-Chung Lai, Roger Wend-Huu Hsiao
Improving Reference Speaker Weighting Adaptation by the Use of Maximum-Likelihood Reference Speakers. ICASSP (1) (2006)
David Rossiter, Gibson Lam, Brian Mak
Automatic Audio Indexing and Audio Playback Speed Control as Tools for Language Learning. ICWL (2006)
Man-Wai Mak, Roger Wend-Huu Hsiao, Brian Mak
A Comparison of Various Adaptation Methods for Speaker Verification With Limited Enrollment Data. ICASSP (1) (2006)
Tsz-Chung Lai, Brian Mak
Unsupervised Speaker Adaptation Using Reference Speaker Weighting. ISCSLP (2006)
Brian Mak, Jeff Siu-Kei Au-Yeung, Yiu-Pong Lai, Man-Hung Siu
High-density discrete HMM with the use of scalar quantization indexing. INTERSPEECH (2005)
Brian Mak, James Tin-Yau Kwok, Simon Ka-Lung Ho
Kernel Eigenvoice Speaker Adaptation. IEEE Trans. Speech Audio Process. 13 (5-2) (2005)
Brian Mak, Simon Ka-Lung Ho
Various Reference Speakers Determination Methods for Embedded Kernel Eigenvoice Speaker Adaptation. ICASSP (1) (2005)
Roger Hsiao, Brian Mak
Discriminative feature transformation by guided discriminative training. ICASSP (1) (2004)
Brian Mak, James T. Kwok, Simon Ka-Lung Ho
A study of various composite kernels for kernel eigenvoice speaker adaptation. ICASSP (1) (2004)
Brian Mak, Simon Ka-Lung Ho, James T. Kwok
Speedup of kernel eigenvoice speaker adaptation by embedded kernel PCA. INTERSPEECH (2004)
Brian Mak
An Acoustic-Phonetic and a Model-Theoretic Analysis of Subspace Distribution Clustering Hidden Markov Models. Int. J. Speech Technol. 7 (1) (2004)
Simon Ka-Lung Ho, Brian Mak
Joint estimation of thresholds in a bi-threshold verification problem. INTERSPEECH (2003)
Brian Mak, Yik-Cheung Tam, Roger Hsiao
Discriminative training of auditory filters of different shapes for robust speech recognition. ICASSP (2) (2003)
James T. Kwok, Brian Mak, Simon Ka-Lung Ho
Eigenvoice Speaker Adaptation via Composite Kernel PCA. NIPS (2003)
Yik-Cheung Tam, Brian Mak
An alternative approach of finding competing hypotheses for better minimum classification error training. ICASSP (2002)
Brian Mak, Yik-Cheung Tam, Peter Qi Li
Discriminative auditory features for robust speech recognition. ICASSP (2002)
Brian Mak
A mathematical relationship between full-band and multiband mel-frequency cepstral coefficients. IEEE Signal Process. Lett. 9 (8) (2002)
Kwok-Man Wong, Brian Mak
MAP adaptation with subspace regression classes and tying. ICASSP (2000)
Brian Mak, Enrico Bocchieri
Training of context-dependent subspace distribution clustering hidden Markov model. ICSLP (1998)
Brian Mak, Enrico Bocchieri
Training of subspace distribution clustering hidden Markov model. ICASSP (1998)
Brian Mak
Combining ANNs to improve phone recognition. ICASSP (1997)
Enrico Bocchieri, Brian Mak
Subspace distribution clustering for continuous observation density hidden Markov models. EUROSPEECH (1997)
Ronald A. Cole, Yonghong Yan, Brian Mak, Mark A. Fanty, Troy Bailey
The contribution of consonants versus vowels to word recognition in fluent speech. ICASSP (1996)
Brian Mak, Etienne Barnard
Phone clustering using the bhattacharyya distance. ICSLP (1996)
Tan Lee, P. C. Ching, Lai-Wan Chan, Y. H. Cheng, Brian Mak
Tone recognition of isolated Cantonese syllables. IEEE Trans. Speech Audio Process. 3 (3) (1995)
Jean-Claude Junqua, Brian Mak, Ben Reaves
A robust algorithm for word boundary detection in the presence of noise. IEEE Trans. Speech Audio Process. 2 (3) (1994)

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Publication Activity (10 Years)

Top Topics

Top Venues

Brian Mak