Hui Jiang’s PUBLICATION
1. Refereed Journal Articles
· C. Liu, Y. Hu, L.-R. Dai and H. Jiang, ``An Optimization Method based on Trust Region Problem for Discriminative Training of HMMs in Speech Recognition'', IEEE Trans. on Audio, Speech and Language Processing, pp.2474 - 2485, Vol. 19, No. 8, November 2011.
· J. Du, Y. Hu and H. Jiang, ``Boosted Mixture Learning of Gaussian Mixture Hidden Markov Models Based on Maximum Likelihood for Speech Recognition'', IEEE Trans. on Audio, Speech and Language Processing, pp.2091-2100, Vol. 19, No. 7, September 2011.
· D. Wu, Y. Yin and H. Jiang, ``Convex Optimization for Large Margin Estimation in Speech Recognition via Second Order Cone Programming'', IEEE Trans. on Audio, Speech and Language Processing, pp.1652-1664, Vol. 19, No. 6, August 2011.
· H. Jiang and X. Li, “Parameter Estimation of Statistical Models Using Convex Optimization: An Advanced Method of Discriminative Training for Speech and Language Processing”, IEEE Signal Processing Magazine, pp. 115-127, Vol. 27, No. 3, May 2010.
· H. Jiang, “Discriminative Training for Automatic Speech Recognition: A Survey,” Computer and Speech, Language, pp.589-608, Vol. 24, Issue 4, October 2010.
· P. Hu, H. Jiang and A. Emili, “Predicting protein functions by relaxation labeling protein interaction network,” BMC Bioinformatics 2010, 11(Suppl 1):S64, January 2010.
· P. Liu, C. Liu, H. Jiang, F. Soong and R.-H. Wang, “A Constrained Line Search Optimization for Discriminative Training of HMMs,” IEEE Trans. on Audio, Speech and Language Processing, pp.900-909, Vol. 16, No. 5, July 2008.
· X. Li and H. Jiang, “Solving Large Margin HMM Estimation via Semi-definite Programming,” IEEE Trans. on Audio, Speech and Language Processing, pp.2383-2392, Vol. 15, No. 8, November 2007.
· M. Afify, X. Li and H. Jiang, “Statistical Analysis of Minimum Classification Error Learning for Gaussian and Hidden Markov Model Classifiers,” IEEE Trans. on Audio, Speech and Language Processing, pp.2405-2417, Vol. 15, No.8, November 2007.
· G. Shi, P. Aarabi, and H. Jiang, ``Phase-based Dual-Microphone Speech Enhancement Using a Prior Speech Model,'' IEEE Trans. on Audio, Speech and Language Processing, pp.109-118, Vol.15, No. 1, January 2007.
· Y. Tian, J.-L. Zhou, H. Lin, and H. Jiang, ``Tree-based Covariance Modeling of Continuous Density Hidden Markov Models,'' IEEE Trans. on Audio, Speech and Language Processing (formerly Trans. on Speech and Audio Processing), pp.2134-2146, Vol.14, No. 6, November 2006.
·
H. Jiang, X. Li
and C.-J. Liu, ``Large Margin Hidden Markov
Models for Speech Recognition,” IEEE
Trans. on Audio, Speech and Language Processing, pp.1584-1595, Vol.
14, No. 5, September 2006.
· H. Jiang, F. Soong and C.-H. Lee, ``A dynamic in-search data selection method with its applications to acoustic modeling and utterance verification,'' IEEE Trans. on Speech and Audio Processing, pp.945-955, Vol. 13, No.5, September 2005.
·
M.
Afify, F. Liu, H. Jiang, and
O. Siohan, ``A new verification-based fast
match for large vocabulary speech recognition,'' IEEE Trans. on Speech
and Audio Processing,
pp.546-553, Vol. 13, No.4, July 2005
·
H. Jiang, ``Confidence
Measures for Speech Recognition: A Survey", Speech Communication,
Vol. 45, No. 4, pp. 455-470, Apr. 2005.
·
H. Jiang, C.-H. Lee, ``A
new approach to utterance verification based on neighborhood information in
model space,'' IEEE Trans. on Speech and Audio Processing, pp.425-434,
Vol. 11, No.5, September 2003.
·
H. Jiang and L. Deng, ``A
robust compensation strategy against extraneous acoustic variations for
spontaneous speech recognition," IEEE
Trans. on Speech and Audio Processing, pp.9-17, Vol. 10, No.1, January, 2002.
·
H. Jiang and L. Deng, ``A
Bayesian approach to the verification problem: -- applications to speaker
verification,'' IEEE Trans. on Speech
and Audio Processing, pp.874-884, Vol. 9, No.8, November 2001.
·
H. Jiang, K. Hirose and Q. Huo, ``A minimax search algorithm for robust continuous
speech recognition,'' IEEE Trans. on
Speech and Audio Processing, pp. 688-694, Vol. 8, No. 6, November
2000.
· H. Jiang, K. Hirose and Q. Huo, ``Robust speech recognition based on Bayesian prediction approach'', IEEE Trans. on Speech and Audio Processing, pp. 426-440, Vol. 7, No.4, July 1999.
2. Invited Journal
Papers (Referred):
·
H. Jiang, K.
Hirose and Q. Huo, ``Improving Viterbi Bayesian
predictive classification via sequential Bayesian learning in robust speech recognition,''
Speech Communication, pp.
313-326, Vol 28, Issue 4, August
1999. (with the invitation of Editorial
Board)
3. Book Chapters
(Referred):
·
P.
Hu, H. Jiang
and A. Emili, ``Incorporating correlations among gene ontology terms into
predicting protein functions,'' Invited chapter for Ontology learning and
knowledge discovery using the web: challenges and recent advances (edited by W
Wong, W Liu, M Bennamoun), IGI Global Press, 2011.
·
D.
Wu, B. Li and H. Jiang, “Normalization and Transformation Techniques for Robust
Speaker Recognition,” Speech Recognition, Technologies and Applications,
edited by F. Mihelic and J. Zibert, November 2008.
·
P.
Hu, C. Chung, H. Jiang and A. Emili, “Chapter 13: Bioinformatics applications:
predicting protein subcellular localization by applying machine learning
classifiers to proteomic expression profiles”, Introduction to
Bioinformatics: A concept based approach, edited by V Mathura and P Kangueane, pp.163-174,
Springer-Verlag Press, October 2008.
·
H.
Jiang
and X. Li, “A General Approximation-Optimization Approach to Large Margin
Estimation of HMMs,” Speech Recognition and Synthesis, edited by V. Kodic,
2007.
4.
Papers in Refereed Conference Proceedings
·
P.
S. Jafari, H.-Y. Kang, X. Wang, Q.-J. Fu and H. Jiang, ``Phase-sensitive Speech Enhancement for
Cochlear Implant Processing,'' Proceedings of 2011 IEEE International
Conference on Acoustic, Speech, and Signal Processing (ICASSP'2011), Prague, Czech, May
2011.
·
P.
Hu and H. Jiang,
``Classification of high-throughput data using correlation-shared gene
clusters,'', Proceedings of International Conference on Bioinformatics and
Computational Biology (BIOCOMP 2011), Las Vegas, USA, July 2011.
·
P.
Hu, S. Bull and H. Jiang, ``Gene network models-based linear discriminant analysis
of microarray expression data'', Proceedings of 7th International Symposium
on Bioinformatics Research and Applications (ISBRA'2011) , LNBI 6647, pp.
286-296, Springer-Verlag Berlin Heidelberg, edited by J. Chen, J. Wang and A.
Zelikovsky,
May 2011.
·
J.
Du, Y. Hu and H. Jiang, ``Boosted Mixture Learning of Gaussian Mixture HMMs for
Speech Recognition'', Proc. of Interspeech 2010, Makuhari, Japan,
September 2010.
·
V.
Magdin and H. Jiang, “Large Margin Estimation of N-gram Language Models for
Speech Recognition via Linear Programming”, Proceedings of IEEE
International Conference on Acoustic, Speech, and Signal Processing
(ICASSP’2010),
Dallas, Taxes, March 2010.
·
C.
Liu, Y. Hu, H. Jiang and L.-R. Dai, “A Bounded Trust Region Optimization for
Discriminative Training of HMMs in Speech Recognition”, Proceedings of IEEE
International Conference on Acoustic, Speech, and Signal Processing
(ICASSP’2010),
Dallas, Taxes, March 2010.
·
V.
Magdin and H. Jiang, “Discriminative Training of N-gram Language Models for Speech
Recognition via Linear Programming”, Proc. of IEEE Workshop on Automatic
Speech Recognition and Understanding (ASRU), Merano, Italy, December 2009.
·
P.
Hu, H. Jiang
and A. Emili, “A topology-sharing based method for protein function prediction via
analysis of protein functional association networks”, Proceedings of IEEE
International Conference on Bioinformatics and Biomedicine Workshops, Washington DC, USA,
December 2009.
·
D.
Wu, B. Li and H. Jiang, “Maximum Mutual Information Estimation via Second Order
Cone Programming for Large Vocabulary Continuous Speech Recognition,” Proc.
of Interspeech,
Brighton, UK, September 2009.
·
D.
Wu, B. Li, H. Jiang and Q. Fu, “Online Model Adaptation f or Voice Conversion
using Model-based Speech Synthesis Technique,” Proc. of Interspeech, Brighton, UK,
September 2009.
·
Z.
Yan, C. Liu, Y. Hu, H. Jiang, “A Trust Region based Optimization for Maximum
Mutual Information Estimation of HMMs in Speech Recognition”, Proc. of IEEE
International Conference on Acoustic, Speech, and Signal Processing
(ICASSP’2009),
Taipei, Taiwan, April 2009.
·
J.
Li, Q.-J. Fu, H. Jiang, M. Akagi, “Psychoacoustically-motivated Adaptive
Beta-order Generalized Spectral Subtraction for Cochlear Implant Patients”, Proc.
of IEEE International Conference on Acoustic, Speech, and Signal Processing
(ICASSP’2009),
Taipei, Taiwan, April 2009.
·
Y.
Yin and H. Jiang,
“Second Order Cone Programming Relaxation for Large Margin HMMs in Speech
Recognition”, Proc. of IEEE
International Symposium on Circuits and Systems, Taipei, Taiwan, May
2009.
·
Z.
Pan and H. Jiang,
“Large Margin Multinomial Mixture Model for Text Categorization,” Proc. of
Interspeech,
Brisbane, Australia, September 2008.
·
J.
Li, H. Jiang
and M. Akagi, “Psychoacoustically-motivated Adaptive b-order Generalized
Spectral Subtraction Based on Data-driven Optimization,” Proc. of
Interspeech,
Brisbane, Australia, September 2008.
·
Y.
Yin and H. Jiang,
“A Compact Semidefinite Programming (SDP) Formulation For Large Margin
Estimation of HMMs in Speech Recognition,” Proc. of IEEE Workshop on Automatic Speech
Recognition and Understanding (ASRU), Kyoto, Japan, December, 2007.
·
P.
Liu, C. Liu, H. Jiang, F. Soong and R.-H. Wang, “Extension of Constrained Line
Search Optimization Method for Discriminative Training of Gaussian mixture
CDHMMs,” Proc. of IEEE Workshop
on Automatic Speech Recognition and Understanding (ASRU), Kyoto, Japan, December
2007.
·
Y.
Yin and H. Jiang,
“A Fast Optimization Method for Large Margin Estimation of HMMs based on Second
Order Cone Programming,” Proc. of Interspeech, August 2007.
·
H.
Jiang
and X. Li , ``Incorporating Training Errors For Large Margin HMMs Under
Semi-definite Programming Framework," Proc. of 2007 IEEE International
Conference on Acoustic, Speech, and Signal Processing (ICASSP'2007), Hawaii,
USA, April 2007.
·
C.
Liu, P. Liu, H. Jiang, F. Soong and R.-H. Wang, ``A Constrained Line Search
Optimization For Discriminative Training in Speech Recognition," Proc. of
2007 IEEE International Conference on Acoustic, Speech, and Signal Processing
(ICASSP'2007),
·
J.
Du, P. Liu, H. Jiang, F. Soong, R.-H. Wang, ``A New Formulation of Minimum
Divergence for Discriminative Training," Proc. of 2007 IEEE
International Conference on Acoustic, Speech, and Signal Processing (ICASSP'2007),
·
X.-W.
Li and H. Jiang,
``Solving Large Margin HMM Estimation via Semi-definite Programming,'' Proc. of International Conference on Spoken Language Processing
(ICSLP'2006),
·
C.-J.
Liu, H. Jiang
and L. Rigazio, ``Recent Improvements on Maximum Relative Margin Estimation of
HMMs for Speech Recognition,” Proc. of
2006 IEEE International Conference on Acoustic, Speech, and Signal Processing
(ICASSP’2006),
·
X.-W.
Li and H. Jiang, ``A Constrained Joint
Optimization Method for Large Margin HMM Estimation," Proceedings of 2005 IEEE Automatic
Speech Recognition and Understanding Workshop,
·
C.
Liu, H. Jiang, L.
Rigazio, ``Maximum Relative Margin Estimation of HMMs Based on N-Best String
Models for Continuous Speech Recognition," Proceedings of 2005 IEEE
Automatic Speech Recognition and Understanding Workshop, Cancun, Mexico, Nov.
2005.
·
M.
Afify, X.-W. Li, H. Jiang, ``Statistical Performance Analysis of
MCE/GPD Learning in Gaussian Classifiers and Hidden Markov Models", Proc.
of 2005 IEEE International
Conference on Acoustic, Speech, Signal Processing (ICASSP'2005), Philadelphia, Mar.
2005.
·
B.
Liu, H. Jiang,
J.-L. Zhou, R.-H. Wang, ``Discriminative Training Based on The Criterion of
Least Phone Competing Tokens for Large vocabulary Speech Recognition," Proc.
of 2005 IEEE International Conference on Acoustic, Speech, Signal Processing
(ICASSP'2005),
Philadelphia, Mar. 2005.
·
C.
Liu, H. Jiang,
X.-W. Li, ``Discriminative Training of CDHMMs for Maximum Relative Separation
Margin," Proc. of 2005
IEEE International Conference on Acoustic, Speech, Signal Processing
(ICASSP'2005),
Philadelphia, Mar. 2005.
·
X.-W.
Li, H. Jiang, C.
Liu, ``Large Margin HMMs for Speech Recognition," Proc. of 2005 IEEE
International Conference on Acoustic, Speech, Signal Processing (ICASSP'2005), Philadelphia, Mar.
2005.
·
H.
Lin, Y. Tian, J.-L. Zhou, H. Jiang, ``Hierarchical Correlation Compensation
for Hidden Markov Models," Proc.
of 2005 IEEE International
Conference on Acoustic, Speech, Signal Processing (ICASSP'2005), Philadelphia, Mar. 2005.
·
H. Jiang and Q.-J. Fu, ``Statistical Noise
Compensation for Cochlear Implant Processing'', Proc. of Interspeech'2005 - Eurospeech 9th European Conference on Speech
Communication and Technology, Lisbon, Sep 2005.
·
I.
Zitouni, H. Jiang and
Q. Zhou, ``Discriminative Training and Support Vector Machine for Natual
Language Call Routing'', Proc. of Interspeech'2005 - Eurospeech 9th European Conference on Speech
Communication and Technology, Lisbon, Sep 2005.
·
G.
Guo, C. Huang, H. Jiang,
R.-H. Wang, ``A Comparative Study on Various Confidence Measures in Large
Vocabulary Speech Recognition",
Proc. of International Symposium on Chinese Spoken Language
Processing (ISCSLP'2004), Hong Kong, Dec. 2004.
·
P.
Liu, H. Jiang, I.
Zitouni, ``Discriminative Training of Naive Bayes Classifiers for Natural
Language Call Routing,'' Proc. of International Conference on Spoken
Language Processing (ICSLP'2004), Jeju Island, Korea, Oct. 2004.
·
I.
Zitouni, M. Lee, H. Jiang,
``Constrained Minimization Technique for Topic Identification Using
Discriminative Training and Support Vector Machines,'' Proc. of
International Conference on Spoken Language Processing (ICSLP'2004), Jeju Island, Korea,
Oct. 2004.
·
H. Jiang, Q. Wang, ``Nonlinear Noise Compensation
in Feature Domain for Speech Recognition with Numerical Methods," Proc.
of 2004 IEEE International Conference on Acoustics, Speech, and Signal
Processing (ICASSP'2004), Montreal, Canada, May 2004.
·
H.
Jiang
and C.-H. Lee, ``Utterance Verification based on Neighborhood Information and
Bayes Factors,'' Proc. of International
Conference on Spoken Language Processing (ICSLP'2002),
·
Q.
Li, H. Jiang,
Q. Zhou and J. Zheng, ``Automatic Enrollment for Speaker Authentication,'' Proc.
of International Conference on Spoken Language Processing (ICSLP'2002),
·
J.
Chen, D. Dimitriadis, H. Jiang, et. al., ``
·
H.
Jiang,
O. Siohan, F. Soong and C.-H. Lee,
`` A dynamic in-search discriminative training approach for large
vocabulary speech recognition,'' Proc. of
2002 IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP'2002),
pp.I-113-116,
·
J.
Kuo, E. Fosler-Lussier, H. Jiang and C.-H. Lee, ``Discriminative training
of language models for speech
recognition,'', Proc. of 2002 IEEE International Conference
on Acoustics, Speech, and Signal Processing (ICASSP'2002),
·
H.
Jiang,
F. Soong and C.-H. Lee, ``Hierarchical stochastic feature matching for robust
speech recognition,'' Proc. of 2001 IEEE International Conference
on Acoustics, Speech, and Signal Processing (ICASSP'2001),
·
T.
Moriya, K. Hirose, N. Minematsu and H. Jiang, ``Enhanced MAP
adaptation of N-gram language models using indirect correlation of distant
words,'' Proc. of 2001 IEEE Workshop on
Automatic Speech Recognition and Understanding (ASRU'2001),
·
H.
Jiang,
F. Soong and C.-H. Lee, ``A data selection strategy for utterance verification
in continuous speech recognition,'' Proc.
of European Conference on Speech Communication and Technology, pp. 2573-2576,
Aalborg, Denmark, September, 2001.
·
F.
Liu, M. Afify, H. Jiang and O. Siohan, ``A new verification-based fast match approach
to large vocabulary speech recognition,'' Proc.
of European Conference on Speech Communication and Technology, pp. 851-854, Aalborg, Denmark,
September, 2001.
·
O.
Siohan, A. Ando, M. Afify, H. Jiang, et. al., ``A real-time Japanese
broadcast news closed-captioning system,'' Proc.
of European Conference on Speech Communication and Technology, pp. 495-498,
·
M.
Afify, H. Jiang,
et. al, ``Evaluating the
·
H.
Jiang,
F. Soong and C.-H. Lee, ``Hierarchical feature compensation and its application
to hands-free speech recognition,'' Proc. of 2001 ISCA
International Workshop on
Hands-Free Speech Communication,
·
H.
Jiang
and L. Deng, ``A robust training strategy against extraneous acoustic
variations for spontaneous speech recognition,'', Proc. of 2000 International Conference on Spoken Language Processing
(ICSLP'2000),
·
K.
Sasaki, H. Jiang
and K. Hirose, ``Rapid adaptation of N-gram language models using inter-word
correlation for speech recognition,'', Proc. of 2000
International Conference on Spoken Language Processing (ICSLP'2000),
·
H.
Jiang,
K. Hirose and Q. Huo, ``A minimax search algorithm for CDHMM based robust
continuous speech recognition,'' Proc. of
International Conference on Spoken Language Processing (ICSLP'98),
·
H.
Jiang,
K. Hirose and Q. Huo, ``Improving Viterbi Bayesian predictive classification
via sequential Bayesian learning in robust speech recognition'', Proc. of 1998 IEEE International Conference
on Acoustics, Speech, and Signal Processing (ICASSP'98),
·
H.
Jiang,
K. Hirose and Q. Huo, ``Robust speech recognition based on Viterbi Bayesian
predictive classification,'' Proc. of
1997 IEEE International Conference on Acoustics, Speech, and Signal Processing
(ICASSP'97),
·
H.
Jiang,
K. Hirose and Q. Huo, ``Sequential Bayesian learning of CDHMM based on finite
mixture approximation of its prior/posterior density'', Proc.
of 1997 IEEE workshop on Automatic Speech Recognition and Understanding,
·
Q.
Huo, H. Jiang
and C.-H. Lee, ``A Bayesian predictive classification approach to robust speech
recognition,'' Proc. of 1997 IEEE
International Conference on Acoustics, Speech, and Signal Processing
(ICASSP'97),
·
H.
Jiang,
K. Hirose and Q. Huo, ``Use of less-informative Bayesian predictive
classification for noisy speech recognition'', Proc. of 1997 China-Japan Symposium on Advanced Information Technology,
·
R.-H.
Wang and H. Jiang,
``State-codebook based Quasi continuous density Hidden Markov model with applications to
recognition of Chinese syllables'', Proc.
of 1994 International Conference on Spoken Language Processing (ICSLP'94),
5. Other Publications
·
H.
Jiang,
Keikichi Hirose, Nobuaki Minematsu, Koki Sasaki and Takaaki Moriya, ``A Rapid Bayesian
Adaptation of N-gram Language Models Using Cross-word Correlation'',
Technical Report CS-2005-02, Department of Computer Science and Engineering,
·
H.
Jiang,
``Discriminative
Training for Large Margin HMMs'', Technical Report CS-2004-01, Department
of Computer Science and Engineering,
·
H.
Jiang,
``Confidence
Measures for Speech Recognition: A Survey," Technical Report
CS-2003-06, Department of Computer Science and Engineering,
·
H.
Jiang,
``Nonlinear
Noise Compensation in Feature Domain with Numerical Methods,"
Technical Report CS-2003-02, Department of Computer Science and Engineering,
·
H.
Jiang,
K. Hirose and Q. Huo, ``Combining Viterbi Bayesian predictive classification
with sequential Bayesian learning for robust speech recognition,'' Technical Issue of the Institute of
Electronics, Information and Communication Engineers, June 1998.
·
H.
Jiang,
K. Hirose and Q. Huo, ``Bayesian learning of continuous density HMM for Viterbi
Bayesian predictive classification'', Proc.
of the Acoustical Society of Japan Fall Meeting,
·
H.
Jiang,
K. Hirose and Q. Huo, ``Applying Viterbi Bayesian predictive classification to
robust recognition of continuous speech'', Proc.
of the Acoustical Society of Japan Spring Meeting,
·
H.
Jiang,
K. Hirose and Q. Huo, ``Robust speech recognition based on Bayesian predictive
approach'', Technical Issue of the
·
H.
Jiang,
K. Hirose and Q. Huo, ``A CDHMM-based robust speech recognition approach using
plug-in predictive density of gaussian mixture component'', Proc. of the Acoustical Society of Japan
Fall Meeting,
·
H.
Jiang
and R.-H. Wang, ``Use of bi-directional contextual dependency in continuous
speech recognition'', Proc. of Acoustical
Society of Japan Spring Meeting,