10月30日，美国佐治亚理工学院终身教授、IEEE Fellow李锦辉教授访问语音及语言信息处理国家工程实验室，与我实验室相关领域的科研人员进行了学术交流，并在科大西区电三楼A区213教室做了题为“Entropy Minimization Dialogue Management for Goal-driven Multi-turn Dialogues”的报告。科大部分感兴趣的师生前来聆听本次报告。

报告中，李教授首先阐释了目标驱动任务，对话处理通常仅限于搜寻指定集合中一个特定目标。只要能够清楚地指定与指定每个目标相对应的子集或所有属性，就可以搜索出该目标。有些属性与多个目标相关联，有些目标可以用少量的属性定义。随后，李教授介绍一种呼叫路由系统，该系统通过制定消歧问题来解决目标歧义，该消歧问题在每次系统用户交互后会产生一个包含目标的更小子集，最终在较少的交互轮数下搜寻出用户的目标。接着，李教授将目标驱动任务转换成一个多轮搜索问题，并介绍一种概率对话系统，该系统通过系统发起的问题和用户的回复组成一系列动态变化状态。最后，李教授提出如果系统以最大熵询问与属性有关的问题，则可以在最少的轮数中搜寻出目标。并在一个包含38177首歌曲和12种属性(如专辑、歌手、风格等)的音乐搜索任务中进行了验证。EMDM策略在达到用户目标的过程中，总是以最少的轮数胜过其他当时最好的方法。语音识别和语言理解错误也可以通过扩展动态对话状态来解决，动态对话状态也包括来自潜在错误的多个候选状态。

在场师生认真听讲，积极与李锦辉教授互动讨论。本次报告在热烈的互动中圆满结束。

       Chin-Hui Lee is a professor at School of Electrical and Computer Engineering, Georgia Institute of Technology. Before joining academia in 2001, he had accumulated 20 years of industrial experience ending in Bell Laboratories, Murray Hill, as a Distinguished Member of Technical Staff and Director of the Dialogue Systems Research Department. Dr. Lee is a Fellow of the IEEE and a Fellow of ISCA. He has published over 500 papers and 30 patents, with more than 45,000 citations and an h-index of 80 on Google Scholar. He received numerous awards, including the Bell Labs President's Gold Award in 1998. He won the SPS's 2006 Technical Achievement Award for “Exceptional Contributions to the Field of Automatic Speech Recognition''. In 2012 he gave an ICASSP plenary talk on the future of automatic speech recognition. In the same year he was awarded the ISCA Medal in scientific achievement for “pioneering and seminal contributions to the principles and practice of automatic speech and speaker recognition''.