Hui Lin @UW

About Me

I am a Ph.D. candidate at University of Washington advised by Prof. Jeff Bilmes. I am working in the intersection of machine learning and speech/language processing. In particular, I am interested in optimization methods (i.e. submodularity in combinatorial optimization) with applications in sequence modeling (i.e. inference in dynamic Bayesian networks).
My research touches several topics including: graphical models for speech recognition, audio data retrieval, large scale discriminative classifiers, active learning for sequences, extractive speech/text summarization, multilingual speech recognition, audio fingerprinting and covariance modeling for hidden Markov models (see my Publication for details).
Before joining SSLI lab in September 2006, I got my B.S. and M.S. degrees from Tsinghua University. In the summer of 2008, I did my internship at Microsoft Research under the mentorship of Dr. Li Deng and Prof. Chin-Hui Lee.

Publications

Hui Lin, Jeff Bilmes, Shasha Xie. "Graph-based Submodular Selection for Extractive Summarization", in Proc. IEEE Automatic Speech Recognition and Understanding (ASRU), Merano, Italy, December 2009.(pdf)

Hui Lin, Jeff Bilmes, Koby Crammer. " How to Loose Confidence: Probabilistic Linear Machines for Multiclass Classification ", Conference of the International Speech Communication Association (Interspeech) , Brighton U.K., September 2009. (pdf) (demo)

Hui Lin, Jeff Bilmes. "How to Select a Good Training-data Subset for Transcription: Submodular Active Selection for Sequences", Conference of the International Speech Communication Association (Interspeech) , Brighton U.K., September 2009. (pdf)

Hui Lin, Li Deng, Dong Yu, Yifan Gong, Alex Acero, Chin-Hui Lee, "A Study on Multilingual Acoustic Modeling for Large Vocabulary ASR", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , Taipei Taiwan, April 2009. (pdf)

Hui Lin, Alex Stupakov, Jeff Bilmes, "Improving Muliti-lattice Alignment based Spoken Keyword Spotting", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , Taipei Taiwan, April 2009. (pdf)

Hui Lin, Li Deng, Jasha Droppo, Dong Yu, Alex Acero, "Learning Methods in Multilingual Speech Recognition", Neural Information Processing Systems (NIPS) workshop on Speech and Language: Learning-based Methods and Systems , Dec. 2008. (pdf)

Shasha Xie, Yang Liu, Hui Lin, "Evaluating the Effectiveness of Features and Sampling in Extractive Meeting Summarization", IEEE Workshop on Spoken Language Technology (SLT), Goa India, Decemeber 2008. (pdf)

Hui Lin, Alex Stupakov, Jeff Bilmes "Spoken Keyword Spotting via Multi-Lattice Alignment", Proceedings of Interspeech , Brisbane Australia, September 2008. (pdf)

Hui Lin, Jeff Bilmes, "Polyphase Speech Recognition", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Las Vegas, Mar. 2008. (pdf)

Hui Lin, Jeff Bilmes, Dimitra Vergyri, Katrin Kirchhoff, "OOV Detection by Joint Word/Phone Lattice Alignment", IEEE Automatic Speech Recognition and Understanding (ASRU), Kyoto, Japan, Dec. 2007. (pdf)

Hui Lin, Zhijian Ou, "Switching Auxiliary Chains for Speech Recognition", IEEE Signal Processing Letters, Volume 14, Issue 8, Page(s):568-571, Aug. 2007 (pdf)

Hui Lin, Zhijian Ou, "Switching Auxiliary Chains for Speech Recognition based on Dynamic Bayesian Networks", 18th International Conference on Pattern Recognition (ICPR), Hongkong, Aug. 2006. (pdf)

Hui Lin, Zhijian Ou, "Partial-tied-mixture Auxiliary Chain for Speech Recognition based on Dynamic Bayesian Networks", IEEE International Conference on Systems, Man and Cybernetics, Taiwan, 2006. (pdf)

Ye Tian, Jian-lai Zhou, Hui Lin, Hui Jiang, "Tree-based Covariance Modeling for Hidden Markov Models", IEEE Transactions on Audio, Speech and Language Processing, Volume 14, Issue 6, Page(s):2134-2146, Nov. 2006 (pdf)

Hui Lin, Zhijian Ou, Xi Xiao, "Generalized Time-series Active Search with Kullback-Leibler Distance for Audio Fingerprinting", IEEE Signal Processing Letters, Volume 13, Issue 8, Page(s):465-468, Aug. 2006. (pdf)

Hui Lin, Ye Tian, Jian-lai Zhou, Hui Jiang, "Hierarchical Correlation Compensation for Hidden Markov Models", IEEE International Conference of Acoustics, Speech and Signal Processing (ICASSP), Philadelphia, March, 2005. (pdf)

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About Me

Publications

Hui Lin