| Author | Title | Journal | Year | Misc | Download |
| Ronglai Zuo, Brian Mak | Improving Continuous Sign Language Recognition with Consistency Constraints and Signer Removal | ACM Transactions on Multimedia Computing, Communications, and Applications | 2024 | January | DOI |
| Yingke Zhu, Brian Mak | Bayesian Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification | IEEE/ACM Transactions on Audio, Speech and Language Processing | 2023 | volume 31, pages 1000-1012, February | DOI |
| Z. Tan, M. W. Mak, B. Mak, Yingke Zhu | Denoised Senone I-Vectors for Robust Speaker Verification | IEEE/ACM Transactions on Audio, Speech and Language Processing | 2018 | volume 26, number 4, pages 820-830, April | DOI |
| Z. Tan, M. W. Mak, B. Mak | DNN-Based Score Calibration with Multi-Task Learning for Noise Robust Speaker Verification | IEEE/ACM Transactions on Audio, Speech and Language Processing | 2018 | volume 26, number 4, pages 700-712, April | DOI |
| Dongpeng Chen, Brian Mak | Multi-task Learning of Deep Neural Networks for Low-resource Speech Recognition | IEEE/ACM Transactions on Audio, Speech and Language Processing | 2015 | volume 23, number 7, pages 1172-1183, July | DOI |
| Tom Ko, Brian Mak | Eigentrigraphemes for Under-resourced Languages | Speech Communication | 2014 | volume 56, number 0, pages 132-141, January | (draft) pdf |
| Tom Ko, Brian Mak | Eigentriphones for Context-dependent Acoustic Modeling | IEEE Transactions on Audio, Speech and Language Processing | 2013 | volume 21, number 6, pages 1285-1294, June | DOI |
| Brian Mak, T.-C. Lai, I. W. Tsang, J. T.-Y. Kwok | Maximum Penalized Likelihood Kernel Regression for Fast Adaptation | IEEE Transactions on Audio, Speech and Language Processing | 2009 | volume 17, number 7, pages 1372-1381, Sept | DOI |
| Brian Mak, R. Hsiao | Kernel Eigenspace-based MLLR Adaptation | IEEE Transactions on Audio, Speech and Language Processing | 2007 | volume 15, number 3, pages 784-795, March | (draft) pdf |
| Man-hung Siu, Brian Mak, Wing-Hei Au | Minimization of Utterance Verification Error Rate as a Constrained Optimization Problem | IEEE Signal Processing Letters | 2006 | volume 13, number 12, pages 760-763, December | (draft) pdf |
| 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 Processing Letters | 2006 | volume 13, number 11, pages 707-710, November | (draft) pdf |
| Brian Mak, R. Hsiao, S. Ho, J. T. Kwok | Embedded Kernel Eigenvoice Speaker Adaptation and its Implication to Reference Speaker Weighting | IEEE Transactions on Speech and Audio Processing | 2006 | volume 14, number 4, pages 1267-1280, July | (draft) pdf |
| H. K. Lo, C. W. Yip, Brian Mak | Passenger Route Guidance System for Multi-modal Transit Networks | Journal of Advanced Transportation | 2005 | volume 39, number 3, pages 271-288 | (draft) pdf |
| Brian Mak, K. W. Chan | Pruning Hidden Markov Models with Optimal Brain Surgeon | IEEE Transactions on Speech and Audio Processing | 2005 | volume 13, number 5, pages 993-1003, September | (draft) pdf |
| Brian Mak, J. T. Kwok, S. Ho | Kernel Eigenvoice Speaker Adaptation | IEEE Transactions on Speech and Audio Processing | 2005 | volume 13, number 5, pages 984-992, September | (draft) pdf |
| Brian Mak, Y. C. Tam, Q. Li | Discriminative Auditory-based Features for Robust Speech Recognition | IEEE Transactions on Speech and Audio Processing | 2004 | volume 12, number 1, pages 27-36, January | (draft) pdf |
| Brian Mak | An Acoustic-Phonetic and a Model-Theoretic Analysis of Subspace Distribution Clustering Hidden Markov Models | International Journal of Speech Technology | 2004 | volume 7, number 1, pages 55-68, January | (draft) pdf |
| Brian Mak | A Mathematical Relationship between Full-band and Multi-band Mel-frequency Cepstral Coefficients | IEEE Signal Processing Letters | 2002 | volume 9, number 8, pages 241-244, August | (draft) pdf |
| Brian Mak, E. Bocchieri | Direct Training of Subspace Distribution Clustering Hidden Markov Model | IEEE Transactions on Speech and Audio Processing | 2001 | volume 9, number 4, pages 378-387, May | (draft) pdf |
| E. Bocchieri, Brian Mak | Subspace Distribution Clustering Hidden Markov Model | IEEE Transactions on Speech and Audio Processing | 2001 | volume 9, number 3, pages 264-275, March, (The paper received the Best Paper Award in the area of Speech Processing from the IEEE Signal Processing Society in 2004.) | (draft) pdf |
| T. Lee, P. C. Ching, L. W. Chan, Y. H. Cheng, Brian Mak | Tone Recognition of Isolated Cantonese Syllables | IEEE Transactions on Speech and Audio Processing | 1995 | volume 3, number 3, pages 204-209, May | (draft) pdf |
| J. Junqua, Brian Mak, B. Reaves | A Robust Algorithm for Word Boundary Detection in the Presence of Noise | IEEE Transactions on Speech and Audio Processing | 1994 | volume 2, number 3, pages 406-412, July | (draft) pdf |
Brian Kan Wing MAK
Associate Professor
