Sorted by Publication Types

1. S.X. Zhang and M.W. Mak, "High-Level Speaker Verification via Articulatory-Feature based Sequence Kernels and SVM", Interspeech'2008, Brisbane, Sept. 2008, pp.  1393-1396 (interspeech08.pdf)
    
2. S.X. Zhang and M.W. Mak, "Articulatory-Feature based Sequence Kernel For High-Level Speaker Verification", Int. Conf. on Machine Learning and Cybernetics (ICMLC) 2008, vol. 5, pp. 2799-2804 (icmlc08.pdf).
    
3. S.X. Zhang and M. W. Mak, "A New Adaptation Method for Speaker-Model Creation in High-Level Speaker Verification", Advances in Multimedia Information Processing (PCM'2007), Hong Kong, Springer LNCS 4810, pp. 325-335.  (pcm07.pdf) (presentation)
    
4. S.X. Zhang, M. W. Mak, and H. M. Meng, "High-Level Feature-Based Speaker Verification via Articulatory Phonetic-Class Pronunciation Modeling", Interspeech'2007,  pp. 762-765, Antwery, Belgium (interspeech07.pdf)
    
5. S.X. Zhang, M.W. Mak and Helen M. Meng, "Speaker Verification via High-Level Feature Based Phonetic-Class Pronunciation Modeling", IEEE Trans. on Computers, Vol. 56, No. 9, pp. 1189-1198, Sept. 2007. (tc07.pdf)
    
6. M.W. Mak, K.K. Yiu and S.Y. Kung, "Probabilistic Feature-Based Transformation for Speaker Verification over Telephone Networks", Neurocomputing, special issue on Neural Networks for Speech and Audio Processing, vol. 71, pp. 137–146, 2007.
    
7. B. Ma, H. Meng, M. W. Mak, Effects of Device Mismatch, Language Mismatch and Environmental Mismatch on Speaker Verification, ICASSP'07, 2007, vol. 4, pp. 301-304.
    
8. Henry Pak-Sum Hui, Helen M. Meng, Man-Wai Mak, Adaptive Weight Estimation in Multi-Biometric Verification Using Fuzzy Logic Decision Fusion, ICASSP'07, 2007, vol. 1, pp. 501-504.
    
9. M.W. Mak and K.K. Yiu. "Probabilistic Feature Transformation for Channel Robust Speaker Verification", 2006 IEEE International Workshop on Machine Learning for Signal Processing (MLSP'06), Maynooth, Ireland, 2006. (mlsp06b.pdf) (Presentation) (Source code)
    
10. K.K. Yiu, M.W. Mak and S.Y. Kung, "Environment Adaptation for Robust Speaker Verification by Cascading Maximum Likelihood Linear Regression and Reinforced Learning", Computer Speech and Language, vol. 21, pp. 231-246, 2007 (csl06.pdf)
     
11. M.W. Mak, R. Hsiao, and B. Mak, "A Comparison of Various Adaptation Methods for Speaker Verification with Limited Enrollment Data", ICASSP'06, Toulouse, May, 2006, pp. 929-932. (icassp06a.pdf) (Poster)
     
12. S.Y. Kung and M.W. Mak, "On Consistent Fusion of Multimodal Biometrics," ICASSP'06, Toulouse, May, 2006, pp. 1085-1088. (icassp06b.pdf) (Presentation)
     
13. Helen Meng, P.C. Ching, Tan Lee, Man Wai Mak, Brian Mak, Y.S. Moon, Man-Hung Siu, Xiaoou Tang, Henry P.S. Hui, Andrew Lee, Wai-Kit Lo, Bin Ma and Eddie K.T. Sio, "The Multi-biometric, Multi-device and Multiligual (M3) Corpus", Second Workshop on Multimodal User Authentication (MMUA'06), Toulouse, France, 2006.
     
14. K.Y. Leung, M.W. Mak, M.H. Siu, and S.Y. Kung, "Adaptive Articulatory Feature-Based Conditional Pronunciation Modeling for Speaker Verification, Speech Communications, Volume 48, Issue 1, January 2006, Pages 71-84. (spcomm05.pdf)
     
15. S.Y. Kung, M.W. Mak and S.H. Lin, Biometric Authentication: A Machine Learning Approach, Prentice Hall, 2005. (Preface and Table of Contents)
     
16. K.Y. Leung, M.W. Mak, M.H. Siu, and S.Y. Kung, "Speaker Verification via Articulatory Feature-based Conditional Pronunciation Modeling with Vowel and Consonant Mixture Models, Eurospeech'05, Lisbon, 2005. (eurospeech05a.pdf).
     
17. K.K. Yiu, M.W. Mak, and S.Y. Kung, "Channel Robust Speaker Verification via Bayesian Blind Stochastic Feature Transformation, Eurospeech'05, Lisbon, 2005. (eurospeech05b.pdf).
     
18. K.Y. Leung, M.W. Mak, M.H. Siu, and S.Y. Kung, "Speaker Verification Using Adapted Articulatory Feature-based Conditional Pronunciation Modeling", ICASSP'05, vol. 1, pp. 181-184, 2005, Philadelphia.
     
19. M.C. Cheung, M.W. Mak and S.Y. Kung, "A Two-level Fusion Approach to Multmodal Biometric Verification", ICASSP'05, vol. 5, pp. 486-489, 2005, Philadelphia.
     
20. K.K. Yiu, M.W. Mak, M.C. Cheung, and S.Y. Kung, "Blind Stochastic Feature Transformation for Channel Robust Speaker Verification," J. of VLSI Signal Processing, to appear. (jvlsisp04.pdf)
     
21. M.W. Mak, C.H. Sit, and S.Y. Kung, "Extraction of Speaker Features from Different Stages of DSR Front-ends for Distributed Speaker Verification," International Journal of Speech Technology, vol. 8, pp. 67-77, 2005. (ijst04.pdf)
     
22. K.Y. Leung, M.W. Mak, M.H. Siu, and S.Y. Kung, "Adaptive Conditional Pronunciation Modeling using Articulatory Features for Speaker Verification", Int. Sym. on Chinese Spoken Language Processing (ISCSLP'04), Dec. 2004. (iscslp04.pdf)
     
23. T.K. Choi, X.M. Zhu, R.W.P Luk, F.L. Chung, M.W. Mak, K.M. Lam and W.C. Siu, "The Impact of Speech Recognition Errors on the Effectiveness of Spoken Cantonese Query Retrieval", Proc. International Symposium on Intelligent Multimedia, Video, and Speech Processing (ISIMP'04), Oct. 2004, pp. 210-213.
     
24. K.K. Yiu, M.W. Mak, M.C. Cheung, and S.Y. Kung, "Blind Stochastic Feature Transformation for Speaker Verification over Cellular Networks," Proc. International Symposium on Intelligent Multimedia, Video, and Speech Processing (ISIMP'04). (isimp04a.pdf), Oct. 2004, pp. 679-682.
     
25. M.C. Cheung, M.W. Mak and S.Y. Kung, "Intramodal and Intermodal Fusion for Audio-Visual Biometric Authentication", Proc. International Symposium on Intelligent Multimedia, Video, and Speech Processing (ISIMP'04). Oct. 2004, pp. 25-28. (isimp04b.pdf)
     
26. M.C. Cheung, M.W. Mak and S.Y. Kung, "Probabilistic Fusion of Sorted Score Sequences for Robust Speaker Verification," in Y.P. Tan, K.H. Yap and L. Wang, editors, Intelligent Multimedia Processing with Soft Computing, Springer, pp. 369-381, 2005.
     
27. M.C. Cheung, K.K. Yiu, M.W. Mak, and S.Y. Kung, "Multi-Sample Fusion with Constrained Feature Transformation for Robust Speaker Verification", Int. Conf. on Spoken Language Processing, Korea, Oct. 2004, pp. 1813-1816. (icslp04a.pdf)
     
28. K.K. Yiu, M.W. Mak, M.C. Cheung, and S.Y. Kung, "A New Approach to Channel Robust Speaker Verification via Constrained Stochastic Feature Transformation" Int. Conf. on Spoken Language Processing, Korea, Oct. 2004, pp. 1753-1756. (icslp04b.pdf)
     
29. K.Y. Leung, M.W. Mak and S.Y. Kung, "Articulatory Feature-Based Conditional Pronunciation Modeling for Speaker Verification", Int. Conf. on Spoken Language Processing, Korea, Oct. 2004, 2597-2600. (icslp04c.pdf)
     
30. C.H. Sit, M.W. Mak and S.Y. Kung, "Maximum likelihood and maximum a posteriori adaptation for distributed speaker recognition systems, Int. Conf. on Biometric Authentication (ICBA'04), Hong Kong, July 2004, pp. 640-647. (icba04.pdf)
     
31. K.Y. Leung, M.W. Mak and S.Y. Kung, "Applying articulatory features to
    telephone-based speaker verification", ICASSP'2004. (icassp04a.pdf)
     
32. M.C. Cheung, M.W. Mak and S.Y. Kung, "Multi-sample data-dependent
    fusion of sorted score sequences for biometric verification", ICASSP'2004. (icassp04b.pdf)
     
33. C.L. Tsang, M.W. Mak and S.Y. Kung, "Cluster-Dependent Feature Transformation with Divergence-Based Out-of-Handset Rejection for Robust Speaker Verification", ICICS-PCM'2003. (accepted) (icics-pcm2003.pdf)
     
34. M.W. Mak, C.L. Tsang and S.Y. Kung, "Stochastic Feature Transformation with Divergence-Based Out-of-Handset Rejection for Robust Speaker Verification," EURASIP J. on Applied Signal Processing, vol. 2004, No. 4, April 2004. (jasp03.pdf)
     
35. M.C. Cheung, M.W. Mak and S.Y. Kung, "Adaptive Decision Fusion for Multi-Sample Speaker Verification over GSM Networks," Eurospeech'03, Geneva, Sept. 2003, pp. 2969-2972.  (Eurosp03a.pdf)
     
36. Eric, W.M. Yu, M.W. Mak, C.H. Sit and S.Y. Kung, "Speaker Verification Based on G.729 and G.723.1 Coder Parameters and Handset Mismatch Compensation", Eurospeech'03, Geneva, Sept. 2003, pp. 1681-1684. (Eurosp03b.pdf)
     
37. K.K. Yiu, M.W. Mak and S.Y. Kung, "Environment Adaptation for Robust Speaker Verification", Eurospeech'03, Geneva, Sept. 2003, pp. 2973-2976. (Eurosp03c)
     
38. K.K. Yiu, M.W. Mak and S.Y. Kung. "A Comparative Study on Kernel-Based Probabilistic Neural Networks for Speaker Verification", International Journal of Neural Systems, Vol. 12, No. 5, 381-391, 2002. (ijons2.pdf)

 
39. M.W. Mak and S.Y. Kung. "Estimation of Elliptical Basis Function Parameters by the EM Algorithms with Application to Speaker Verification," IEEE Trans. on Neural Networks, Vol. 11, No. 4, pp. 961-969, July 2000. (tnna069.ps)

 
40. M.W. Mak, W.G. Allen and G.G. Sexton, "Speaker Identification using Multi Layer Perceptrons and Radial Basis Functions Networks," Neurocomputing, Vol. 6, No. 1, pp. 99-118, February 1994. 

 
41. M.W. Mak, W.G. Allen and G.G. Sexton, "Comparing Multi-Layer Perceptrons and Radial Basis Function Networks in Speaker Identifications," Journal of Microcomputer Applications, Vol. 16, pp. 147-59, April 1993.
     
42. C.L. Tsang, M.W. Mak and S.Y. Kung, "Cluster-Dependent Feature Transformation for Telephone-Based Speaker Verification", Int. Conf. on Audio- and Video-Based Biometric Person Authentication 2003 (AVBPA'03), Surrey, U.K., pp. 86-94.  (avbpa03.pdf)

 
43. M.W. Mak, M.C. Cheung, and S.Y. Kung, "Robust Speaker Verification from GSM-Transcoded Speech Based on Decision Fusion and Feature Transformation," ICASSP'2003, vol. 2, pp. 745-748. (icassp2003.pdf)

 
44. K.K. Yiu, M.W. Mak and S.Y. Kung, "Speaker Verification with A Priori Threshold Determination using Kernel-Based Probabilistic Neural Networks," Int. Conf. on Neural Information Processing, 2002 (ICONIP'02), Singapore, Nov. 2002, pp. 2386-2390 (iconip2002.pdf)

 
45. C.L. Tsang, M.W. Mak and S.Y. Kung, "Divergence-Based Out-of-Class Rejection for Telephone Handset Identification," Int. Conf. on Spoken Language Processing, USA, 2002, pp. 2329-2332. (icslp2002.pdf)

 
46. K.K. Yiu, M.W. Mak and S.Y. Kung, "Kernel-Based Probabilistic Neural Networks with Integrated Scoring Normalization for Speaker Verification," Pacific-Rim Conference on Multimedia 2002 (PCM'2002), 2002, pp. 623-630. (pcm2002b.pdf)

 
47. Eric W.M. Yu, M.W. Mak and S.Y. Kung, "Speaker Verification From Coded Telephone Speech Using Stochastic Feature Transformation and Handset Identification," Pacific-Rim Conference on Multimedia 2002 (PCM'2002), 2002, pp. 598-606. (pcm2002a.pdf) 

 
48. M.W. Mak and S.Y. Kung. "Combining Stochastic Feature Transformation and Handset Identification for Telephone-Based Speaker Verification, ICASSP'2002, pp. I701-I704.(icassp2002.pdf)

 
49. K.K. Yiu, M.W. Mak and S.Y. Kung. "A GMM-Based Handset Selector for Channel Mismatch Compensation with Applications to Speaker Identification," Second IEEE Pacific-Rim Conference on Multimedia 2001 (PCM'2001), pp. 1132-1137, Oct. 2001. (pcm2001.pdf)

 
50. M.W. Mak, W.D. Zhang and M.X. He, "A New Two-Stage Scoring Normalization Approach to Speaker Verification," Proc. Int. Sym. on Intelligent Multimedia, Video and Speech Processing, pp. 107-110, May 2001, Hong Kong.(1024.pdf)

 
51. K.K. Yiu, M.W. Mak and S.Y. Kung, "Channel Distortion Compensation Based on the Measurement of Handset's Frequency Responses," Proc. Int. Sym. on Intelligent Multimedia, Video and Speech Processing, pp. 197-200, May 2001, Hong Kong. (1023.pdf)

 
52. X. Li, M.W. Mak and S.Y. Kung, "Robust Speaker Verification Over the Telephone by Feature Recuperation," Proc. Int. Sym. on Intelligent Multimedia, Video and Speech Processing,pp. 433-436, May 2001, Hong Kong. (1022.pdf)

 
53. W.D. Zhang, M.W. Mak and M.X. He, "A Two-Stage Scoring Method Combining World and Cohort Models for Speaker Verification," Proc. Int. Conference on Acoustic, Speech and Signal Processing, Vol. 2, pp. 1193-1196, 2000. (icassp2000.ps)

 
54. K.K. Yiu, M.W. Mak, T.F. Lo and C.K. Li, "Probabilistic Decision-Based Neural Networks for Speaker Verification with A Priori Decision Thresholds,"1999 International Symposium on Signal Processing and Intelligent System, pp. 612-617. 

 
55. T.F. Lo and M.W. Mak, "A New Intra-Frame and Inter-Frame Cepstral Processing Method for Telephone-Based Speaker Verification," Int. Workshop on Multimedia Data Storage, Retrieval, Integration and Applications, pp. 116-122, 2000. (mmws2000a.ps) 

 
56. M. W. Mak, W. D. Zhang and M. X. He, "Determination of A Priori Decision Threshold for Phrase-Prompted Speaker Verification,"Int. Workshop on Multimedia Data Storage, Retrieval, Integration and Applications, pp. 96-103, 2000. (mmws2000b.ps)

 
57. M.W. Mak and C.K. Li, "Elliptical Basis Function Networks and Radial Basis Function Networks for Speaker Verification: A Comparative Study," International Joint Conference on Neural Networks (IJCNN'99), vol. 5, pp. 3034-3039, July 1999, Washington DC. (ijcnn99.pdf) 

 
58. T.F. Lo, M.W. Mak and K.K. Yiu "A New Cepstrum-Based Channel Compensation Method for Speaker Verification," Eurospeech'99, Vol. 2, pp. 775-778, Sept. 1999, Hungary. (eurospeech99a.pdf) 

 
59. W.D. Zhang, K.K. Yiu, M.W. Mak, C.K. Li and M.X. He, "A Priori Threshold Determination for Phrase-Prompted Speaker Verification", Eurospeech'99, Vol.2, pp. 1023-1026, Sept. 1999, Hungary. (eurospeech99b.pdf) 

 
60. M.W. Mak, C.K. Li and X. Li, "Maximum Likelihood Estimation of Elliptical Basis Function Parameters with Application to Speaker Verification," International Conference on Signal Processing (ICSP'98), pp. 1287-1290. Oct. 98, Beijing. (icsp98a.ps) 

 
61. M.W. Mak, "Text-Independent Speaker Verification Over a Telephone Network by Radial Basis Function Networks", Proc. Int. Sym. Multi-Technology Information Processing (ISMIP'96), pp. 145-150, December 1996, Taiwan. (ismip96.ps) 

 
62. M.W. Mak, W.G. Allen and G.G. Sexton, "Speaker Identification using Radial Basis Functions," The 3rd IEE Int. Conf. on Artificial Neural Networks, pp. 138-142, U.K. (ieeann93.pdf)
     
63. M.W. Mak, W.G. Allen and G.G. Sexton, "Comparing Multi-Layer Perceptron and Radial Basis function Networks in Speaker Recognition", BCS/IEEE/EUROMICRO Workshop on Neural Networks: Techniques and Applications, Liverpool, 7-8 Sept. 1992.
     

64. M.W. Mak, "Application of Artificial Neural Networks for Speaker Identification", University of Northumbria at Newcastle, 1993.

Bioinformatics

1. S.Y. Kung, Y.H. Luo, and M.W. Mak, "Feature Selection for Genomic Signal Processing: Unsupervised, Supervised, and Self-Supervised Scenarios, Journal of Signal Processing Systems for Signal, Image, and Video Technology, to appear.
    
2. S.Y. Kung and M.W. Mak, "Feature Selection for Self-Supervised Classication with Applications to Microarray and Sequence Data", IEEE Journal of Selected Topics in Signal Processing, Special Issue on Genomic and Proteomic Signal Processing, vol. 2, No. 3, pp. 297-309, 2008.
    
3. M.W. Mak and S.Y. Kung, "Fusion of Feature Selection Methods for Pairwise Scoring SVM", Neurocomputing, special issue for ICONIP'06, to appear.
    
4. M.W. Mak and S.Y. Kung, "Fusion of Cleavage Site Dectection and Pairwise Alignment for Fast Subcellular Localization", ICASSP'08, pp. 573-576, Las Vegas, April, 2008 (icassp08.pdf)
    
5. M.W. Mak, J. Guo, and S.Y. Kung, "PairProSVM: Protein Subcellular Localization Based on Local Pairwise Profile Alignment and SVM", IEEE/ACM Trans. on Computational Biology and Bioinformatics, vol. 5, No. 3, pp. 416 - 422, 2008. (tcbb.pdf)
    
6. F. Mai, M.W. Mak, Y.S. Hung, and S.Y. Kung, "Sensitivity Analysis Of Boosting PSI-BLAST with Case Study on Subcellular Localization", 2007 IEEE International Workshop on Machine Learning for Signal Processing (MLSP'07), Thessaloniki, Greece, Aug. 2007, pp. 39-44. (mlsp07.pdf)
    
7. S.Y. Kung and M.W. Mak, "Feature Selection for Genomic and Proteomic Data Mining", in Yanqing Zhang and Jagath C. Rajapakse, editors, Machine Learning in Bioinformatics, John Wiley & Sons, 2008, pp. 1-45.
    
8. S.Y. Kung and M.W. Mak, Feature Selection for Pairwise Scoring Kernels with Applications to Protein Subcellular Localization, ICASSP'07, 2007. (icassp07.pdf)
    
9. M.W. Mak and S.Y. Kung. "A solution to the Curse of Dimensionality Problem in Pairwise Scoring Techniques", Int. Conf. on Neural Information Processing( ICONIP'06), vol. 1, pp. 314-323, Hong Kong, Oct. 2006. (iconip06.pdf) (presentation) (workshop)
    
10. J. Guo, M.W. Mak and S.Y. Kung. "Eukaryotic Protein Subcellular Localization Based on Local Pairwise Profile Alignment SVM", 2006 IEEE International Workshop on Machine Learning for Signal Processing (MLSP'06), Maynooth, Ireland, 2006, pp. 391-396 (mlsp06a.pdf) (Presentation) (Supplementary Materials)
     
11. S. Y. Kung and M. W. Mak. Machine Learning for Multi-Modality Genomic Signal Processing, IEEE Signal Processing Magazine, 2006. (ieeespm06.pdf)
     
12. S.Y. Kung, M. W. Mak, and I. Tagkopoulos. Symmetric and asymmetric multi-modality biclustering analysis for microarray data matrix. J. of Bioinformatics and Computational Biology, 4(3), June 2006. (In the special CSB’05 issue). (jbcb06.pdf)
     
13. S.Y.Kung and M.W. Mak, "A Machine Learning Approach to DNA Microarray Biclustering Analysis", 2005 IEEE International Workshop on Machine Learning for Signal Processing, Connecticut, 2005. (mlsp05.pdf). (Supplementary webpage).
     
14. S.Y.Kung, M.W. Mak, and I. Tagkopoulos, "Multi-Metric and Multi-Substructure Biclustering Analysis for Gene Expression Data," IEEE Computational Systems Bioinformatics Conference, Stanford University, California, pp. 123-134, 2005 (csb05.pdf) (Supplementary webpage).

Recurrent Neural Networks

1. K.W. Ku and M.W. Mak, "Knowledge Incorporation Through Lifetime Learning," to appear in Yaochu Jin, editor, Knowledge Incorporation in Evolutionary Computation, Springer.
    
2. K.W. Ku, M.W. Mak and W.C. Siu, "Approaches to Combining Local and Evolutionary Search for Training Neural Networks: A Review and Some New Results". In S. Tsutsui and A. Ghosh, editors,  Advances in Evolutionary Computing, Springer, 2003, pp. 615-642. (ch24.ps)
    
3. K.W. Ku, M.W. Mak and W.C. Siu. "Adding Learning to Cellular Genetic Algorithms for Training Recurrent Neural Networks," IEEE Trans. on Neural Networks, Vol. 10, No. 2, pp. 239-252, March 1999. (cgarnn.ps) 

 
4. W.F. Chang and M.W. Mak. "A Conjugate Gradient Learning Algorithm for Recurrent Neural Networks," Neurocomputing, Vol. 24, pp. 173-189, Feb. 1999. (cgrl.ps) 

 
5. M.W. Mak, K.W. Ku and Y.L. Lu. "On the Improvement of the Real Time Recurrent Learning Algorithm," Neurocomputing, Vol. 24, pp. 13-36, Feb. 1999. (imprtrl.ps) 

 
6. K.W. Ku, M.W. Mak and W.C. Siu. "A Study of the Lamarckian Evolution of Recurrent Neural Networks," IEEE Trans. on Evolutionary Computation, Vol. 4, No. 1, pp. 31-42, April 2000. (ieeetec.ps)

 
7. M.W. Mak, "A Learning Algorithm for Recurrent Radial Basis Function Networks," Neural Processing Letters, Vol. 2, No. 1, pp. 27-31, January 1995. 

 
8. K.W. Ku and M.W. Mak, "Training Neurocontrollers by Local and Evolutionary

Search," Proc. Congress on Evolutionary Computation, 2000 (CEC'2000), Vol. 2, pp. 1558-1564. (cec2002.ps)
 
9. K.W. Ku and M.W. Mak, "Emprical Analysis of the Factors that Affect the Baldwin Effect," Fifth Internation Conference on Parallel Problem Solving from Nature (PPSN'98), pp. 481-490, Sept. 98, Amsterdam. (ppsn98.ps) 

 
10. K.W. Ku, M.W. Mak and W.C. Siu, "A Cellular Genetic Algorithm for Training Recurrent Neural Networks", Proceedings, International Conference on Neural Networks and Signal Processing (ICNNSP'95), Vol. 1, pp. 140-3, 10-3 December 1995, Nanjing, China. (icnnsp95.ps) 

 
11. Y.L. Lu, M.W. Mak and W.C. Siu, "Diminish the Computational Burden of Real Time Recurrent Learning Algorithm by Constrainted Sensitivity", Proceedings, International Conference on Neural Networks and Signal Processing (ICNNSP'95), Vol. 1, pp. 223-6, 10-3 December 1995, Nanjing, China. 

 
12. M.W. Mak, Y.L. Lu and K.W. Ku, "Improved Real-time Recurrent Learning Algorithm : A Review and some New Approaches", Proceedings, International Symposium on Artificial Neural Networks (ISANN'95), pp. IS01-IS06, December 1995, Taiwan. (isann95.ps) 

 
13. Y.L. Lu, M.W. Mak and W.C. Siu, "Application of a Fast Real-Time Recurrent Learning Algorithm to text-to-phoneme Conversion", Proceedings, IEEE International Conference on Neural Networks (ICNN'95), Vol. 5, pp. 2853-7, November- December 1995, Perth, Australia. (icnn95.pdf) 

 
14. M.W. Mak, "Speaker Identification using Modular Recurrent Neural Networks", Proceedings, 4th IEE International Conference on Artificial Neural Networks, pp. 1-6, June 1995, U.K. (ieeann95.ps)
     
15. K.W. Ku and M.W. Mak, "Exploring the Effects of Lamarckian and Baldwinian Learning in Evolving Neural Networks", Int. Conf. on Evolutionary Computation (ICEC'97), pp. 617-20, 13-16 April 1997. (icec97.ps) 

 
 

Audio-Visual Processing

1. M.W. Mak and W.G. Allen, "A Lip-Tracking System Based on Morphological Processing and Block Matching Techniques," Image Communication, Vol. 6, No. 4, pp. 335-48, August 1994. 

 
2. M.W. Mak and W.G. Allen, "Lip-Motion Analysis for Speech Segmentation in Noise," Speech Communication, Vol. 14, No. 3, pp. 279-96, June 1994. 

 

Pattern Classification/Speech Processing   

1. Y.M. Lam, M.W. Mak, and P.H.W. Leong. "Surface Electromyogram Signal Based Speech Synthesis with Phonetic Smoothing", IEEE 2006 International Conference of the Engineering in Medicine and Biology Society (EMBC 2006), 2006.
    
2. Y.M. Lam, P.H.W. Leong, and M.W. Mak, "Frame-Based SEMG-to-Speech Conversion", The Midwest Symposium on Circuits and Systems (MWSCAS'06), Puerto Rico, 2006.
    
3. Y.M. Lam, M.W. Mak and Philip H.W. Leong, "Speech Synthesis from Surface Electromyogram Signal," The 5th IEEE International Symposium on Signal Processing and Information Technology, December 18-21, 2005, Athens, Greece.
    
4. K.K. Yiu, M.W. Mak and C.K. Li, "Gaussian Mixture Models and Probabilistic Decision-Based Neural Networks for Pattern Classification: A Comparative Study," Neural Computing and Applications, Vol. 8, pp. 235-245, 1999. (pdbnn.ps)

 
5. X. Li, M.W. Mak and C.K. Li, "Determing the Optimal Number of Clusters by an Extended RPCL Algorithm," International Journal of Advanced Computational Intelligence, Vol. 3, No. 6, pp. 467-473, Dec. 1999. (erpcl.ps) 

 
6. Zhang, W.D., He, M.X. and Mak, M.W. “An RBF networks approach for cloud detection,” Journal of Ocean University of Qingdao, vol. 31, pp. 586-592, July, 2001.

 
7. Y.K. Wong, A.B. Rad, L. Yan and M.W. Mak. "A Heating Process Controller by On-line Training Neural Network", HKIE Transactions, Vol. 3, No. 1, pp. 47-50, June 1996. 

   
8. M.W. Mak and W.G. Allen, "Spectral Transitivity Functions for Speech Segmentation in Noise," Acoustic Letters, Vol. 16, No. 10, pp. 228-34, April 1993. 

 

9. Y.M. Lam, M.W. Mak and P.H.W. Leong, "Fixed-Point Implementation of Speech Recognition Systems," International Signal Processing Conference'2003, Texas, March 31 - April 3, 2003.

 
10. Zhang, W.D., He, M.X. and Mak, M.W. “Cloud detection using probabilistic neural networks,” IEEE International Geoscience and Remote Sensing Symposium 2001 (IGARSS'01), pp. 2373-2375. 

 
11. W.D. Zhang, M.X. He and M.W. Mak, "Application of MLP and RBF Networks to Cloud Detection,"Proc. Int. Sym. on Intelligent Multimedia, Video and Speech Processing, pp. 60-63, May 2001, Hong Kong. (4042.pdf)

 
12. K.K. Yiu, M.W. Mak and C.K. Li, "Probabilistic Decision-Based Neural Networks for Speech Pattern Classification," International Conference on Signal Processing (ICSP'98), pp. 1378-1381, Oct. 98, Beijing. (icsp98b.ps) 

 
13. X. Li and M.W. Mak, "Optimization of EBFN architecture by an improved RPCL algorithm with application to speaker verification," Proc. of the 1998 Symposium on Image, Speech, Signal Processing and Robotics (ISSPR'98), Vol. II, pp. 43-47, Hong Kong. (isspr98.ps) 

 
14. M.W. Mak and K.W. Cho, "Genetic Evolution of Radial Basis Function Centers for Pattern Classification", International Conference on Neural Networks (ICNN'98), pp. 669-673 May 1998, USA. (ijcnn98.ps) 

 

M.W. Mak's Homepage

Last update: Tuesday, 12 August 2008