学术讲座通知

香港中文大学的Tan Lee副教授和Ken Ma副教授应高等智能与网络服务111引智基地的邀请,将于12月15日来北邮作学术报告。欢迎有兴趣的师生踊跃参与。

报告一:

题目:Unsupervised Acoustic Modeling for Spoken Language Applications

主讲人:Tan Lee 副教授

主持人:王小捷 教授

时间:20141215日(星期一)上午9:00-10:00

地点:教三楼811会议室

报告摘要:

Acoustic modeling is an important problem in many spoken language applications. It aims at providing compact yet accurate statistical representations for a set of sub-word units. Conventional acoustic modeling is a highly supervised process that requires plenty of speech data with transcriptions. Such resources may not be available for many languages and in many real-world situations. In this lecture, a new framework of unsupervised acoustic modeling is presented. Different types of posterior features are proposed as segment representations. Spectral clustering algorithms are applied to group short speech segments into phone-like units. The resulted acoustic models can be used in many spoken language applications, including spoken term detection, language recognition, and topic identification.

主讲人简介:

Tan Lee is an Associate Professor at the Department of Electronic Engineering, the Chinese University of Hong Kong (CUHK). He has been working on speech and language related research since early 90s. His works cover many different areas, including automatic speech and speaker recognition, text-to-speech, speech enhancement, language identification, pathological speech analysis, hearing and speaking aids, and music signal processing. Tan Lee initiated and coordinated a number of pioneering projects on the research and development of Chinese spoken language technologies in Hong Kong. He led 8 projects funded by the General Research Funds (GRF) from the Hong Kong Research Grants Council (RGC). Tan Lee works closely with medical doctors, and speech and hearing professionals, in applying signal processing techniques to human communication disorder problems. He is the Director of the newly established Language and Communication Disorders Research Laboratory at CUHK Shenzhen Research Institute. Tan Lee was the Chairman of the IEEE Hong Kong Chapter of Signal Processing in 2005-2006. He is an associate editor of the EURASIP Journal on Advances in Signal Processing. Tan Lee received the CUHK Vice-Chancellor’s Exemplary Teaching Award in 2004.

报告二:

题目:Hyperspectral Unmixing in Remote Sensing: What Do Signal Processing People Learn from There?

主讲人:Ken Ma副教授

主持人:马占宇

时间:20141215日(星期一)上午10:00-11:00

地点:教三楼811会议室

报告摘要:

The aim of this talk is to overview hyperspectral unmixing (HU) techniques from a signal processing researcher’s perspective. HU is one of the most prominent research topics in hyperspectral remote sensing. The problem is to identify materials and their corresponding compositions in a captured scene, using the high spectral degrees of freedom of hyperspectral sensors. From a signal processing viewpoint, this is a blind source separation (BSS) problem. We will review how clever insights from remote sensing researchers and recent involvements from other fields, such as signal processing, optimization and machine learning, lead to elegant HU theory and methods – which depart quite significantly from conventional BSS techniques, and in fact, give new insights to BSS theory and methods. The connections of HU to other areas, such as text mining, biomedical imaging and computer vision, may also be discussed, depending on the availability of time.

主讲人简介:

Wing-Kin (Ken) Ma is currently an Associate Professor with the Department of Electronic Engineering, The Chinese University of Hong Kong. His research interests are in signal processing and communications, with recent activities focused on optimization, MIMO transceiver designs and interference management, blind signal processing theory, methods and applications.

Dr. Ma is active in the Signal Processing Society. He is currently serving or has served Associate Editor and Guest Editor of several journals, which include IEEE Transactions on Signal Processing, Signal Processing, IEEE Journal of Selected Areas in Communications and IEEE Signal Processing Magazine. He is a Member of the Signal Processing Theory and Methods (SPTM) Technical Committee. His students won ICASSP Best Student Paper Awards in 2011 and 2014, respectively. He was a tutorial speaker of EUSIPCO 2011 and ICASSP 2014, respectively.

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