学术讲座通知:Bayesian Nonparametrics for Speech and Language Processing


学术讲座通知

 

台湾新竹交通大学的Jen-Tzung Chien教授应邀请访问北邮,将于71日面向全校师生作学术报告。欢迎有兴趣的师生踊跃参与。

 

题目:Bayesian Nonparametrics for Speech and Language Processing

主讲人:Jen-Tzung Chien教授(台湾新竹交通大学

主持人:马占宇副教授

时间:201671日(星期五)上午10:00-11:00

地点:教三楼811会议室

报告摘要:

This talk surveys a series of Bayesian nonparametric (BNP) approaches to model selection and their inference procedures which are applied to build information systems including speech recognition, document classification, document summarization and document retrieval. Our goal is to design a flexible, scalable, hierarchical and robust topic models to meet the heterogeneous and nonstationary environments in the era of big data. Two recent works on BNP learning are introduced. One is the hierarchical Pitman-Yor-Dirichlet process for language modeling. The other is the hierarchical theme and topic modeling for document summarization.

主讲人简介:

Jen-Tzung Chien received his Ph.D. degree in electrical engineering from Tsing Hua University, Hsinchu, in 1997. During 1997-2012, he was with the Cheng Kung University, Tainan. Since 2012, he has been with the Department of Electrical and Computer Engineering, Chiao Tung University, Hsinchu. His research interests include machine learning, speech recognition, source separation and information retrieval.

Dr. Chien served as the associate editor of the IEEE Signal Processing Letters, in 2008-2011, the tutorial speaker of the ICASSP, in 2012 and 2015 and the INTERSPEECH, in 2013 and 2016 and is currently serving as an elected member of the IEEE Machine Learning for Signal Processing Technical Committee.

 

此讲座为前沿课题讲座,欢迎全校师生踊跃参加。

 

 

校学术委员会

信息与通信工程学院

国际合作与交流处

2016/6/27

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